@fly51fly fly51fly

fly51fly posts on X about lg, stanford university, university of, ai the most. They currently have [-----] followers and [---] posts still getting attention that total [------] engagements in the last [--] hours.

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• [--] Months [---] +72%
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Social Influence

Social category influence technology brands 78.43% stocks 26.47% travel destinations 11.76% cryptocurrencies 2.94% countries 2.94% finance 0.98% fashion brands 0.98% automotive brands 0.98%

Social topic influence lg #145, stanford university #31, university of #285, ai 14.71%, $googl 12.75%, llm #138, $003550ks #145, princeton university 4.9%, language #2300, meta 4.9%

Top assets mentioned Alphabet Inc Class A (GOOGL) Microsoft Corp. (MSFT) Absci Corporation (ABSI) Alibaba Group (BABA) ServiceNow Inc (NOW) XIAOMI CORP (XIACF) HP Inc (HPQ) Arcblock (ABT) Meta Platforms, Inc. (META)

Top Social Posts

Top posts by engagements in the last [--] hours

"LG Right for the Wrong Reasons: Epistemic Regret Minimization for Causal Rung Collapse in LLMs E Y. Chang Stanford University (2026) https://arxiv.org/abs/2602.11675 https://arxiv.org/abs/2602.11675"
X Link 2026-02-13T21:49Z [----] followers, [---] engagements

"LG Deep Delta Learning Y Zhang Y Liu M Wang Q Gu Princeton University & University of California Los Angeles (2026) https://github.com/yifanzhang-pro/deep-delta-learning/blob/master/Deep_Delta_Learning.pdf https://github.com/yifanzhang-pro/deep-delta-learning/blob/master/Deep_Delta_Learning.pdf"
X Link 2026-01-03T21:28Z [----] followers, [----] engagements

"LG The Trojan in the Vocabulary: Stealthy Sabotage of LLM Composition X Liu W Yu M Fredrikson X Wang. Purdue University & CMU (2025) https://arxiv.org/abs/2601.00065 https://arxiv.org/abs/2601.00065"
X Link 2026-01-05T21:54Z [----] followers, [----] engagements

"LG From Entropy to Epiplexity: Rethinking Information for Computationally Bounded Intelligence M Finzi S Qiu Y Jiang P Izmailov. CMU & New York University (2026) https://arxiv.org/abs/2601.03220 https://arxiv.org/abs/2601.03220"
X Link 2026-01-07T21:20Z [----] followers, [----] engagements

"CL Agentic Memory: Learning Unified Long-Term and Short-Term Memory Management for Large Language Model Agents Y Yu L Yao Y Xie Q Tan. Alibaba Group (2026) https://arxiv.org/abs/2601.01885 https://arxiv.org/abs/2601.01885"
X Link 2026-01-11T21:39Z [----] followers, [----] engagements

"LG Knowledge Graphs are Implicit Reward Models: Path-Derived Signals Enable Compositional Reasoning Y Kansal N K. Jha Princeton University (2026) https://arxiv.org/abs/2601.15160 https://arxiv.org/abs/2601.15160"
X Link 2026-01-22T21:58Z [----] followers, [----] engagements

"LG Reinforcement Learning via Self-Distillation J Hbotter F Lbeck L Behric A Baumann. ETH Zurich (2026) https://arxiv.org/abs/2601.20802 https://arxiv.org/abs/2601.20802"
X Link 2026-01-29T21:49Z [----] followers, [----] engagements

"LG A Theory of Universal Agnostic Learning S Hanneke S Moran Purdue University & Technion and Google Research (2026) https://arxiv.org/abs/2601.20961 https://arxiv.org/abs/2601.20961"
X Link 2026-01-30T21:29Z [----] followers, [----] engagements

"CL Zonkey: A Hierarchical Diffusion Language Model with Differentiable Tokenization and Probabilistic Attention A Rozental (2026) https://arxiv.org/abs/2601.21768 https://arxiv.org/abs/2601.21768"
X Link 2026-01-31T21:42Z [----] followers, [----] engagements

"LG Teaching LLMs to Ask: Self-Querying Category-Theoretic Planning for Under-Specified Reasoning S Qu Stanford University (2026) https://arxiv.org/abs/2601.20014 https://arxiv.org/abs/2601.20014"
X Link 2026-02-01T22:46Z [----] followers, [----] engagements

"LG Golden Goose: A Simple Trick to Synthesize Unlimited RLVR Tasks from Unverifiable Internet Text X Lu D Acuna J Jung J Hu. NVIDIA (2026) https://arxiv.org/abs/2601.22975 https://arxiv.org/abs/2601.22975"
X Link 2026-02-02T21:27Z [----] followers, [----] engagements

"LG TQL: Scaling Q-Functions with Transformers by Preventing Attention Collapse P Dong K Hung A Swerdlow D Sadigh. Stanford University (2026) https://arxiv.org/abs/2602.01439 https://arxiv.org/abs/2602.01439"
X Link 2026-02-03T21:55Z [----] followers, [----] engagements

"LG Self-Hinting Language Models Enhance Reinforcement Learning B Liao H Dong X Xu C Monz. Microsoft Research (2026) https://arxiv.org/abs/2602.03143 https://arxiv.org/abs/2602.03143"
X Link 2026-02-04T21:47Z [----] followers, [----] engagements

"LG Maximum Likelihood Reinforcement Learning F Tajwar G Zeng Y Zhou Y Song. CMU & Tsinghua University & Zhejiang University (2026) https://arxiv.org/abs/2602.02710 https://arxiv.org/abs/2602.02710"
X Link 2026-02-04T21:55Z [----] followers, [----] engagements

"CL Reinforcement World Model Learning for LLM-based Agents X Yu B Peng R Xu Y Shen. Columbia University & Microsoft Research & Dartmouth College (2026) https://arxiv.org/abs/2602.05842 https://arxiv.org/abs/2602.05842"
X Link 2026-02-06T21:31Z [----] followers, [----] engagements

"CL Sparse Reward Subsystem in Large Language Models G Xu M Yuksekgonul J Zou Tsinghua University & Stanford University (2026) https://arxiv.org/abs/2602.00986 https://arxiv.org/abs/2602.00986"
X Link 2026-02-07T21:21Z [----] followers, [----] engagements

"RO HumanX: Toward Agile and Generalizable Humanoid Interaction Skills from Human Videos Y Wang Q Zhao Y F Lau R Yu H W Tsui Q Chen J Wang J Pang P Tan The Hong Kong University of Science and Technology (2026) https://arxiv.org/abs/2602.02473 https://arxiv.org/abs/2602.02473"
X Link 2026-02-07T21:34Z [----] followers, [---] engagements

"AI First Proof M Abouzaid A J. Blumberg M Hairer J Kileel. Stanford University & Columbia University & EPFL (2026) https://arxiv.org/abs/2602.05192 https://arxiv.org/abs/2602.05192"
X Link 2026-02-07T21:41Z [----] followers, [----] engagements

"LG Rethinking the Trust Region in LLM Reinforcement Learning P Qi X Zhou Z Liu T Pang. Sea AI Lab & National University of Singapore (2026) https://arxiv.org/abs/2602.04879 https://arxiv.org/abs/2602.04879"
X Link 2026-02-07T21:52Z [----] followers, [----] engagements

"LG RLAnything: Forge Environment Policy and Reward Model in Completely Dynamic RL System Y Wang T Xie K Shen M Wang. Princeton University (2026) https://arxiv.org/abs/2602.02488 https://arxiv.org/abs/2602.02488"
X Link 2026-02-08T21:14Z [----] followers, [----] engagements

"LG Generative Modeling via Drifting M Deng H Li T Li Y Du. MIT (2026) https://arxiv.org/abs/2602.04770 https://arxiv.org/abs/2602.04770"
X Link 2026-02-08T21:22Z [----] followers, [----] engagements

"LG Privileged Information Distillation for Language Models E Penaloza D Vattikonda N Gontier A Lacoste. ServiceNow (2026) https://arxiv.org/abs/2602.04942 https://arxiv.org/abs/2602.04942"
X Link 2026-02-08T21:31Z [----] followers, [----] engagements

"CL Large Language Model Reasoning Failures P Song P Han N Goodman Stanford University & Carleton College (2026) https://arxiv.org/abs/2602.06176 https://arxiv.org/abs/2602.06176"
X Link 2026-02-09T20:46Z [----] followers, [----] engagements

"LG From Kepler to Newton: Inductive Biases Guide Learned World Models in Transformers Z Liu S Sanborn S Ganguli A Tolias Stanford University (2026) https://arxiv.org/abs/2602.06923 https://arxiv.org/abs/2602.06923"
X Link 2026-02-09T20:56Z [----] followers, [----] engagements

"LG Learning a Generative Meta-Model of LLM Activations G Luo J Feng T Darrell A Radford. UC Berkeley (2026) https://arxiv.org/abs/2602.06964 https://arxiv.org/abs/2602.06964"
X Link 2026-02-09T21:14Z [----] followers, [----] engagements

"LG BONSAI: Bayesian Optimization with Natural Simplicity and Interpretability S Daulton D Eriksson M Balandat E Bakshy Meta (2026) https://arxiv.org/abs/2602.07144 https://arxiv.org/abs/2602.07144"
X Link 2026-02-10T21:27Z [----] followers, [---] engagements

"LG How2Everything: Mining the Web for How-To Procedures to Evaluate and Improve LLMs Y Chang K Lo M Iyyer L Soldaini Allen Institute for AI & University of Maryland (2026) https://arxiv.org/abs/2602.08808 https://arxiv.org/abs/2602.08808"
X Link 2026-02-10T21:52Z [----] followers, [---] engagements

"LG Infusion: Shaping Model Behavior by Editing Training Data via Influence Functions J Rosser R Kirk E Grefenstette J Foerster. University of Oxford & UCL (2026) https://arxiv.org/abs/2602.09987 https://arxiv.org/abs/2602.09987"
X Link 2026-02-11T21:21Z [----] followers, [----] engagements

"LG Self-Evolving Recommendation System: End-To-End Autonomous Model Optimization With LLM Agents H Wang Y Wu D Chang L Wei. Google (2026) https://arxiv.org/abs/2602.10226 https://arxiv.org/abs/2602.10226"
X Link 2026-02-12T21:39Z [----] followers, [----] engagements

"LG Configuration-to-Performance Scaling Law with Neural Ansatz H Zhang K Wen T Ma Tsinghua University & Stanford University (2026) https://arxiv.org/abs/2602.10300 https://arxiv.org/abs/2602.10300"
X Link 2026-02-12T21:46Z [----] followers, [----] engagements

"LG Affordances Enable Partial World Modeling with LLMs K Khetarpal G Comanici J Richens J Shar. Google Deepmind (2026) https://arxiv.org/abs/2602.10390 https://arxiv.org/abs/2602.10390"
X Link 2026-02-12T21:54Z [----] followers, [----] engagements

"CL Effective Reasoning Chains Reduce Intrinsic Dimensionality A Prasad M Joshi K Lee M Bansal. Google DeepMind & UNC Chapel Hill (2026) https://arxiv.org/abs/2602.09276 https://arxiv.org/abs/2602.09276"
X Link 2026-02-11T21:34Z [----] followers, [----] engagements

"LG Towards Autonomous Mathematics Research T Feng T H. Trinh G Bingham D Hwang. Google DeepMind (2026) https://arxiv.org/abs/2602.10177 https://arxiv.org/abs/2602.10177"
X Link 2026-02-12T21:20Z [----] followers, [----] engagements

"LG Blind denoising diffusion models and the blessings of dimensionality Z Kadkhodaie A Pooladian S Chewi E Simoncelli Simons Foundation & Yale University (2026) https://arxiv.org/abs/2602.09639 https://arxiv.org/abs/2602.09639"
X Link 2026-02-11T21:54Z [----] followers, [---] engagements

"CL On-Policy Context Distillation for Language Models T Ye L Dong X Wu S Huang. Microsoft Research (2026) https://arxiv.org/abs/2602.12275 https://arxiv.org/abs/2602.12275"
X Link 2026-02-13T21:21Z [----] followers, [----] engagements

"LG Categorical Flow Maps D Roos O Davis F Eijkelboom M Bronstein. University of Amsterdam & University of Oxford (2026) https://arxiv.org/abs/2602.12233 https://arxiv.org/abs/2602.12233"
X Link 2026-02-13T21:32Z [----] followers, [----] engagements

"LG The Magic Correlations: Understanding Knowledge Transfer from Pretraining to Supervised Fine-Tuning S Fan D Paparas N Noy B Xiong. Google DeepMind & Google Research (2026) https://arxiv.org/abs/2602.11217 https://arxiv.org/abs/2602.11217"
X Link 2026-02-13T21:40Z [----] followers, [----] engagements

"LG How Sampling Shapes LLM Alignment: From One-Shot Optima to Iterative Dynamics Y Chen Y He M I. Jordan F Yao PSL Research University & Northwestern University (2026) https://arxiv.org/abs/2602.12180 https://arxiv.org/abs/2602.12180"
X Link 2026-02-13T21:58Z [----] followers, [----] engagements

"CL When Models Examine Themselves: Vocabulary-Activation Correspondence in Self-Referential Processing Z P Dadfar (2026) https://arxiv.org/abs/2602.11358 https://arxiv.org/abs/2602.11358"
X Link 2026-02-14T21:16Z [----] followers, [----] engagements

"AI Intelligent AI Delegation N Tomaev M Franklin S Osindero Google DeepMind (2026) https://arxiv.org/abs/2602.11865 https://arxiv.org/abs/2602.11865"
X Link 2026-02-14T21:23Z [----] followers, [----] engagements

"LG SkillRL: Evolving Agents via Recursive Skill-Augmented Reinforcement Learning P Xia J Chen H Wang J Liu. UNC-Chapel Hill (2026) https://arxiv.org/abs/2602.08234 https://arxiv.org/abs/2602.08234"
X Link 2026-02-14T21:42Z [----] followers, [----] engagements

"LG Deriving Neural Scaling Laws from the statistics of natural language F Cagnetta A Ravents S Ganguli M Wyart SISSA & Stanford University (2026) https://arxiv.org/abs/2602.07488 https://arxiv.org/abs/2602.07488"
X Link 2026-02-14T21:56Z [----] followers, [----] engagements

"CL SoftMatcha 2: A Fast and Soft Pattern Matcher for Trillion-Scale Corpora M Yoneda Y Matsushita G Kamoda K Suenaga. University of Tokyo & Kyoto University & Graduate University for Advanced Studie (2026) https://arxiv.org/abs/2602.10908 https://arxiv.org/abs/2602.10908"
X Link 2026-02-15T21:34Z [----] followers, [----] engagements

"RO YOR: Your Own Mobile Manipulator for Generalizable Robotics M H Anjaria M E Erciyes V Ghatnekar N Navarkar. New York University (2026) https://arxiv.org/abs/2602.11150 https://arxiv.org/abs/2602.11150"
X Link 2026-02-15T21:47Z [----] followers, [----] engagements

"CL LaCy: What Small Language Models Can and Should Learn is Not Just a Question of Loss S Ujvry L Bthune P Ablin J Monteiro.Apple (2026) https://arxiv.org/abs/2602.12005 https://arxiv.org/abs/2602.12005"
X Link 2026-02-15T21:55Z [----] followers, [----] engagements

"RO RISE: Self-Improving Robot Policy with Compositional World Model J Yang K Lin J Li W Zhang. The Chinese University of Hong Kong & Kinetix AI (2026) https://arxiv.org/abs/2602.11075 https://arxiv.org/abs/2602.11075"
X Link 2026-02-15T22:07Z [----] followers, [----] engagements

"LG Retrieval-Aware Distillation for Transformer-SSM Hybrids A Bick E P. Xing A Gu CMU (2026) https://arxiv.org/abs/2602.11374 https://arxiv.org/abs/2602.11374"
X Link 2026-02-15T22:17Z [----] followers, [----] engagements

"LG Stabilizing Native Low-Rank LLM Pretraining P Janson E Oyallon E Belilovsky Concordia University & Sorbonne University (2026) https://arxiv.org/abs/2602.12429 https://arxiv.org/abs/2602.12429"
X Link 2026-02-17T01:35Z [----] followers, [----] engagements

"CL Think Fast and Slow: Step-Level Cognitive Depth Adaptation for LLM Agents R Yang F Ye X We R Zhao. Tencent Hunyuan & Fudan University (2026) https://arxiv.org/abs/2602.12662 https://arxiv.org/abs/2602.12662"
X Link 2026-02-17T02:01Z [----] followers, [----] engagements

"LG SLA2: Sparse-Linear Attention with Learnable Routing and QAT J Zhang H Wang K Jiang K Zheng. Tsinghua University (2026) https://arxiv.org/abs/2602.12675 https://arxiv.org/abs/2602.12675"
X Link 2026-02-17T02:08Z [----] followers, [----] engagements

"LG Consistency of Large Reasoning Models Under Multi-Turn Attacks Y Li R Krishnan R Padman CMU (2026) https://arxiv.org/abs/2602.13093 https://arxiv.org/abs/2602.13093"
X Link 2026-02-17T02:19Z [----] followers, [----] engagements

"LG Learning on the Manifold: Unlocking Standard Diffusion Transformers with Representation Encoders A Kumar V M. Patel Johns Hopkins University (2026) https://arxiv.org/abs/2602.10099 https://arxiv.org/abs/2602.10099"
X Link 2026-02-14T21:49Z [----] followers, [----] engagements

"LG HyperMLP: An Integrated Perspective for Sequence Modeling J Lu S Yang Georgia Institute of Technology (2026) https://arxiv.org/abs/2602.12601 https://arxiv.org/abs/2602.12601"
X Link 2026-02-17T02:26Z [----] followers, [----] engagements

"LG Using Degeneracy in the Loss Landscape for Mechanistic Interpretability L Bushnaq J Mendel S Heimersheim D Braun N Goldowsky-Dill K Hnni C Wu M Hobbhahn Apollo Research (2024) - Neural networks often have many degenerate parameters that do not contribute to computation. This degeneracy makes networks harder to interpret. - Singular learning theory shows networks are biased towards more degenerate solutions. More degeneracy corresponds to lying in a broader basin in the loss landscape. - Three ways neural networks can be degenerate: 1) Linear dependence between activations in a layer. 2)"
X Link 2024-05-26T21:34Z [----] followers, [----] engagements

"LG TransMLA: Multi-head Latent Attention Is All You Need F Meng Z Yao M Zhang Peking University & Xiaomi Corp. (2025) https://arxiv.org/abs/2502.07864 https://arxiv.org/abs/2502.07864"
X Link 2025-02-13T22:54Z [----] followers, [---] engagements

"LG ModHiFi: Identifying High Fidelity predictive components for Model Modification D Kashyap C Murti P K Nayak T Narshana. CSA IISc & HP Inc. AI Lab & Google (2025) https://arxiv.org/abs/2511.19566 https://arxiv.org/abs/2511.19566"
X Link 2025-11-26T21:53Z [----] followers, [---] engagements

"LG SonicMoE: Accelerating MoE with IO and Tile-aware Optimizations W Guo M Mishra X Cheng I Stoica. Princeton University & UC Berkeley (2025) https://arxiv.org/abs/2512.14080 https://arxiv.org/abs/2512.14080"
X Link 2025-12-21T21:47Z [----] followers, [----] engagements

"CL From Word to World: Can Large Language Models be Implicit Text-based World Models Y Li H Wang J Qiu Z Yin. Southern University of Science and Technology & University of Edinburgh & Princeton University (2025) https://arxiv.org/abs/2512.18832 https://arxiv.org/abs/2512.18832"
X Link 2025-12-26T21:45Z [----] followers, [----] engagements

"CL Learning to Simulate Human Dialogue K Gandhi A Bhatia N D. Goodman Stanford University (2026) https://arxiv.org/abs/2601.04436 https://arxiv.org/abs/2601.04436"
X Link 2026-01-09T22:29Z [----] followers, [----] engagements

"CL Extracting books from production language models A Ahmed A. F Cooper S Koyejo P Liang Stanford University (2026) https://arxiv.org/abs/2601.02671 https://arxiv.org/abs/2601.02671"
X Link 2026-01-10T21:40Z [----] followers, [----] engagements

"LG Everything is Context: Agentic File System Abstraction for Context Engineering X Xu R Mao Q Bai X Gu. University of New South Wales & ArcBlock Inc & University of Tasmania (2025) https://arxiv.org/abs/2512.05470 https://arxiv.org/abs/2512.05470"
X Link 2026-01-10T21:58Z [----] followers, [----] engagements

"LG MoEBlaze: Breaking the Memory Wall for Efficient MoE Training on Modern GPUs J Zhang Y Liu S Yan L Deng. Meta Platforms Inc (2026) https://arxiv.org/abs/2601.05296 https://arxiv.org/abs/2601.05296"
X Link 2026-01-12T21:30Z [----] followers, [----] engagements

"LG Good Allocations from Bad Estimates S Casacuberta M Hardt Stanford University & Max Planck Institute for Intelligent Systems Tbingen (2026) https://arxiv.org/abs/2601.05597 https://arxiv.org/abs/2601.05597"
X Link 2026-01-12T21:51Z [----] followers, [----] engagements

"RO In-the-Wild Compliant Manipulation with UMI-FT H Choi Y Hou C Pan S Hong. Stanford University (2026) https://arxiv.org/abs/2601.09988 https://arxiv.org/abs/2601.09988"
X Link 2026-01-18T21:55Z [----] followers, [----] engagements

"LG FORESTLLM: Large Language Models Make Random Forest Great on Few-shot Tabular Learning Z Yang J Wei X Zhang H Dong. National University of Singapore & Zhejiang University & University of British Columbia (2026) https://arxiv.org/abs/2601.11311 https://arxiv.org/abs/2601.11311"
X Link 2026-01-19T21:30Z [----] followers, [----] engagements

"CL Large Language Models Are Bad Dice Players: LLMs Struggle to Generate Random Numbers from Statistical Distributions M Zhao Y Du M Wang Harvard University (2026) https://arxiv.org/abs/2601.05414 https://arxiv.org/abs/2601.05414"
X Link 2026-01-20T21:59Z [----] followers, [----] engagements

"LG CooperBench: Why Coding Agents Cannot be Your Teammates Yet A Khatua H Zhu P Tran A Prabhudesai. Stanford University & SAP Labs US (2026) https://arxiv.org/abs/2601.13295 https://arxiv.org/abs/2601.13295"
X Link 2026-01-21T21:31Z [----] followers, [----] engagements

"CL Beyond Tokens: Concept-Level Training Objectives for LLMs L Iyer P Somani A Guo D Jurafsky. Stanford University (2026) https://arxiv.org/abs/2601.11791 https://arxiv.org/abs/2601.11791"
X Link 2026-01-21T21:37Z [----] followers, [----] engagements

"CL Towards Execution-Grounded Automated AI Research C Si Z Yang Y Choi E Cands. Stanford University (2026) https://arxiv.org/abs/2601.14525 https://arxiv.org/abs/2601.14525"
X Link 2026-01-22T21:22Z [----] followers, [----] engagements

"LG Diffusion Large Language Models for Black-Box Optimization Y Yuan C (Sam)Chen Z Sun D Zhang. McGill & MILA - Quebec AI Institute (2026) https://arxiv.org/abs/2601.14446 https://arxiv.org/abs/2601.14446"
X Link 2026-01-22T21:30Z [----] followers, [----] engagements

"LG Learning to Discover at Test Time M Yuksekgonul D Koceja X Li F Bianchi. Stanford University & UC San Diego (2026) https://arxiv.org/abs/2601.16175 https://arxiv.org/abs/2601.16175"
X Link 2026-01-23T21:17Z [----] followers, [----] engagements

"CL Agentic Confidence Calibration J Zhang C Xiong C Wu Salesforce AI Research (2026) https://arxiv.org/abs/2601.15778 https://arxiv.org/abs/2601.15778"
X Link 2026-01-23T21:38Z [----] followers, [----] engagements

"AI Terminal-Bench: Benchmarking Agents on Hard Realistic Tasks in Command Line Interfaces M A. Merrill A G. Shaw N Carlini B Li. Stanford University & Laude Institute & Anthropic (2026) https://arxiv.org/abs/2601.11868 https://arxiv.org/abs/2601.11868"
X Link 2026-01-24T21:26Z [----] followers, [---] engagements

"CV Motion 3-to-4: 3D Motion Reconstruction for 4D Synthesis H Chen X Chen Y Zhang Z Xu. Westlake University (2026) https://arxiv.org/abs/2601.14253 https://arxiv.org/abs/2601.14253"
X Link 2026-01-24T21:38Z [----] followers, [----] engagements

"CV Rethinking Video Generation Model for the Embodied World Y Deng Z Pan H Zhang X Li. Peking University & ByteDance Seed (2026) https://arxiv.org/abs/2601.15282 https://arxiv.org/abs/2601.15282"
X Link 2026-01-24T21:44Z [----] followers, [----] engagements

"CL Stable-DiffCoder: Pushing the Frontier of Code Diffusion Large Language Model C Fan W Heng B Li S Liu. Huazhong University of Science and Technology & ByteDance Seed (2026) https://arxiv.org/abs/2601.15892 https://arxiv.org/abs/2601.15892"
X Link 2026-01-25T21:40Z [----] followers, [----] engagements

"AS Adaptive Rotary Steering with Joint Autoregression for Robust Extraction of Closely Moving Speakers in Dynamic Scenarios J Kienegger T Gerkmann University of Hamburg (2026) https://arxiv.org/abs/2601.12345 https://arxiv.org/abs/2601.12345"
X Link 2026-01-25T21:57Z [----] followers, [----] engagements

"LG The Art of Being Difficult: Combining Human and AI Strengths to Find Adversarial Instances for Heuristics H Nikoleit A Anand A M Naredla H Rglin University of Bonn & Google DeepMind & University of Manitoba (2026) https://arxiv.org/abs/2601.16849 https://arxiv.org/abs/2601.16849"
X Link 2026-01-26T21:40Z [----] followers, [---] engagements

"LG HalluGuard: Demystifying Data-Driven and Reasoning-Driven Hallucinations in LLMs X Zeng J Lin Y Yan F Guo. Virginia Tech & MIT & Dartmouth College (2026) https://arxiv.org/abs/2601.18753 https://arxiv.org/abs/2601.18753"
X Link 2026-01-27T22:44Z [----] followers, [---] engagements

"LG Reuse your FLOPs: Scaling RL on Hard Problems by Conditioning on Very Off-Policy Prefixes A Setlur Z Wang A Cohen P Rashidinejad. FAIR at Meta (2026) https://arxiv.org/abs/2601.18795 https://arxiv.org/abs/2601.18795"
X Link 2026-01-27T22:50Z [----] followers, [---] engagements

"LG Self-Distilled Reasoner: On-Policy Self-Distillation for Large Language Models S Zhao Z Xie M Liu J Huang. Meta & UCLA & HKU (2026) https://arxiv.org/abs/2601.18734 https://arxiv.org/abs/2601.18734"
X Link 2026-01-27T23:07Z [----] followers, [----] engagements

"LG Neural Neural Scaling Laws M Y. Hu J Pan A R Jhaveri N Lourie. New York University (2026) https://arxiv.org/abs/2601.19831 https://arxiv.org/abs/2601.19831"
X Link 2026-01-28T21:45Z [----] followers, [----] engagements

"LG Thought-Transfer: Indirect Targeted Poisoning Attacks on Chain-of-Thought Reasoning Models H Chaudhari E Rathbum H Foerster J Hayes. Northeastern University & University of Cambridge & Google DeepMind (2026) https://arxiv.org/abs/2601.19061 https://arxiv.org/abs/2601.19061"
X Link 2026-01-28T22:03Z [----] followers, [---] engagements

"LG Axe: A Simple Unified Layout Abstraction for Machine Learning Compilers B Hou H Jin G Wang J Chen. CMU & Shanghai Jiao Tong University & NVIDIA (2026) https://arxiv.org/abs/2601.19092 https://arxiv.org/abs/2601.19092"
X Link 2026-01-28T22:11Z [----] followers, [----] engagements

"LG Self-Distillation Enables Continual Learning I Shenfeld M Damani J Hbotter P Agrawal MIT & ETH Zurich (2026) https://arxiv.org/abs/2601.19897 https://arxiv.org/abs/2601.19897"
X Link 2026-01-28T22:19Z [----] followers, [----] engagements

"LG Evolutionary Strategies lead to Catastrophic Forgetting in LLMs I Abdi A Gupta M Mok A Lu. UC Berkeley (2026) https://arxiv.org/abs/2601.20861 https://arxiv.org/abs/2601.20861"
X Link 2026-01-29T21:34Z [----] followers, [----] engagements

"LG Truthfulness Despite Weak Supervision: Evaluating and Training LLMs Using Peer Prediction T A Qiu M Carroll C Allen UC Berkeley (2026) https://arxiv.org/abs/2601.20299 https://arxiv.org/abs/2601.20299"
X Link 2026-01-29T21:42Z [----] followers, [---] engagements

"LG Nonparametric LLM Evaluation from Preference Data D Frauen A Deviyani M v d Schaar S Feuerriegel LMU Munich & CMU & University of Cambridge (2026) https://arxiv.org/abs/2601.21816 https://arxiv.org/abs/2601.21816"
X Link 2026-01-30T21:53Z [----] followers, [----] engagements

"AI How AI Impacts Skill Formation J H Shen A Tamkin Anthropic (2026) https://arxiv.org/abs/2601.20245 https://arxiv.org/abs/2601.20245"
X Link 2026-01-31T21:32Z [----] followers, [----] engagements

"AI Who's in Charge Disempowerment Patterns in Real-World LLM Usage M Sharma M McCain R Douglas D Duvenaud Anthropic & ACS Research Group & University of Toronto (2026) https://arxiv.org/abs/2601.19062a https://arxiv.org/abs/2601.19062a"
X Link 2026-01-31T21:52Z [----] followers, [---] engagements

"CV Advancing Open-source World Models R T Z Gao Q Wang Y Zeng J Zhu. Robbyant Team (2026) https://arxiv.org/abs/2601.20540 https://arxiv.org/abs/2601.20540"
X Link 2026-02-01T22:24Z [----] followers, [----] engagements

"LG Shaping capabilities with token-level data filtering N Rathi A Radford Anthropic (2026) https://arxiv.org/abs/2601.21571 https://arxiv.org/abs/2601.21571"
X Link 2026-02-01T22:59Z [----] followers, [----] engagements

"CL Context Structure Reshapes the Representational Geometry of Language Models E A. Hosseini Y Li Y Bahri D Campbell. Google DeepMind (2026) https://arxiv.org/abs/2601.22364 https://arxiv.org/abs/2601.22364"
X Link 2026-02-02T21:43Z [----] followers, [----] engagements

"LG EUGens: Efficient Unified and General Dense Layers S M Kim B Kim A Sehanobish S B R Chowdhury. Seoul National University (2026) https://arxiv.org/abs/2601.22563 https://arxiv.org/abs/2601.22563"
X Link 2026-02-02T21:56Z [----] followers, [----] engagements

"CL Sparse Reward Subsystem in Large Language Models G Xu M Yuksekgonul J Zou Tsinghua University & Stanford University (2026) https://arxiv.org/abs/2602.00986 https://arxiv.org/abs/2602.00986"
X Link 2026-02-03T21:37Z [----] followers, [----] engagements

"LG Interpreting and Controlling Model Behavior via Constitutions for Atomic Concept Edits N Kalibhat Z Wang P Bajpai D Proud. Google DeepMind (2026) https://arxiv.org/abs/2602.00092 https://arxiv.org/abs/2602.00092"
X Link 2026-02-03T21:43Z [----] followers, [----] engagements

"LG Reasoning about Reasoning: BAPO Bounds on Chain-of-Thought Token Complexity in LLMs K Tomlinson T Schnabel A Swaminathan J Neville Microsoft Research & Netflix (2026) https://arxiv.org/abs/2602.02909 https://arxiv.org/abs/2602.02909"
X Link 2026-02-04T21:35Z [----] followers, [---] engagements

"CL Reinforced Attention Learning B Li J Ni C Qu I Miao. Google & Google DeepMind & UC Davis (2026) https://arxiv.org/abs/2602.04884 https://arxiv.org/abs/2602.04884"
X Link 2026-02-05T21:17Z [----] followers, [----] engagements

"CL Likelihood-Based Reward Designs for General LLM Reasoning A Kwiatkowski N Butt I Labiad J Kempe. Meta FAIR & University of Amsterdam (2026) https://arxiv.org/abs/2602.03979 https://arxiv.org/abs/2602.03979"
X Link 2026-02-05T21:45Z [----] followers, [----] engagements

"CL MentorCollab: Selective Large-to-Small Inference-Time Guidance for Efficient Reasoning H Wang Y Wang S Feng H Hajishirzi. UIUC & University of Washington (2026) https://arxiv.org/abs/2602.05307 https://arxiv.org/abs/2602.05307"
X Link 2026-02-06T21:44Z [----] followers, [----] engagements

"LG Antibody optimization enabled by artificial intelligence predictions of binding affinity and naturalness S Bachas G Rakocevic D Spencer. Absci Corporation (2022) #MachineLearning #ML #AI https://www.biorxiv.org/content/10.1101/2022.08.16.504181v1 https://www.biorxiv.org/content/10.1101/2022.08.16.504181v1"
X Link 2022-08-19T21:21Z [----] followers, [--] engagements

"LG Unlocking de novo antibody design with generative artificial intelligence A Shanehsazzadeh S Bachas G Kasun J M. Sutton Absci Corporation (2023) #MachineLearning #ML #AI #bioinformatics 1/2 https://www.biorxiv.org/content/10.1101/2023.01.08.523187v1 https://www.biorxiv.org/content/10.1101/2023.01.08.523187v1"
X Link 2023-01-14T09:51Z [----] followers, [----] engagements

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