[GUEST ACCESS MODE: Data is scrambled or limited to provide examples. Make requests using your API key to unlock full data. Check https://lunarcrush.ai/auth for authentication information.] #  @_reachsumit Sumit Sumit posts on X about kuaishou, meituan, signals, built on the most. They currently have XXXXX followers and XX posts still getting attention that total XXX engagements in the last XX hours. ### Engagements: XXX [#](/creator/twitter::129969370/interactions)  - X Week XXXXXX +57% - X Month XXXXXX +85% - X Months XXXXXX -XX% - X Year XXXXXXX -XX% ### Mentions: XX [#](/creator/twitter::129969370/posts_active)  - X Week XX +68% - X Month XX +28% - X Months XXX +54% - X Year XXX +171% ### Followers: XXXXX [#](/creator/twitter::129969370/followers)  - X Week XXXXX +0.24% - X Month XXXXX +1.20% - X Months XXXXX +13% - X Year XXXXX +36% ### CreatorRank: XXXXXXXXX [#](/creator/twitter::129969370/influencer_rank)  ### Social Influence [#](/creator/twitter::129969370/influence) --- **Social category influence** [social networks](/list/social-networks) XXXX% [technology brands](/list/technology-brands) XXXX% **Social topic influence** [kuaishou](/topic/kuaishou) 11.9%, [meituan](/topic/meituan) 4.76%, [signals](/topic/signals) 4.76%, [built on](/topic/built-on) 2.38%, [bytedance](/topic/bytedance) 2.38%, [prediction](/topic/prediction) 2.38%, [token](/topic/token) 2.38%, [$4385t](/topic/$4385t) 2.38%, [llm](/topic/llm) 2.38%, [alibaba](/topic/alibaba) XXXX% **Top accounts mentioned or mentioned by** [@guz](/creator/undefined) [@hschechtr](/creator/undefined) [@mufeili](/creator/undefined) [@seirasto](/creator/undefined) [@jlwu002](/creator/undefined) [@aksh555](/creator/undefined) [@dineshkuma88111](/creator/undefined) ### Top Social Posts [#](/creator/twitter::129969370/posts) --- Top posts by engagements in the last XX hours "Haystack Engineering: Context Engineering for Heterogeneous and Agentic Long-Context Evaluation @Mufei_Li et al. present a benchmark built on Wikipedia's hyperlink network" [X Link](https://x.com/_reachsumit/status/1976480398659158396) [@_reachsumit](/creator/x/_reachsumit) 2025-10-10T02:50Z 3367 followers, XXX engagements "OneRec-Think: In-Text Reasoning for Generative Recommendation Kuaishou integrates dialogue reasoning and personalized recommendation" [X Link](https://x.com/_reachsumit/status/1977972340861579713) [@_reachsumit](/creator/x/_reachsumit) 2025-10-14T05:38Z 3367 followers, XXX engagements "HoMer: Addressing Heterogeneities by Modeling Sequential and Set-wise Contexts for CTR Prediction Meituan presents a unified transformer that jointly models panoramic sequences and set-wise item interactions for click-through rate prediction. 📝" [X Link](https://x.com/_reachsumit/status/1977975410718847366) [@_reachsumit](/creator/x/_reachsumit) 2025-10-14T05:51Z 3368 followers, XXX engagements "Differentiable Fast Top-K Selection for Large-Scale Recommendation Kuaishou introduces a differentiable Top-K operator with linear O(n) time complexity for cascade ranking systems. 📝 👨🏽💻" [X Link](https://x.com/_reachsumit/status/1977978132725456936) [@_reachsumit](/creator/x/_reachsumit) 2025-10-14T06:01Z 3367 followers, XXX engagements "SAIL-Embedding Technical Report: Omni-modal Embedding Foundation Model ByteDance presents a foundation model that supports multifaceted multimodal retrieval and classification by accommodating arbitrary modality inputs including text vision and audio" [X Link](https://x.com/_reachsumit/status/1978333482775355646) [@_reachsumit](/creator/x/_reachsumit) 2025-10-15T05:33Z 3367 followers, XXX engagements "SMILE: SeMantic Ids Enhanced CoLd Item Representation for Click-through Rate Prediction in E-commerce SEarch Kuaishou uses RQ-OPQ encoding to enhance cold-start item representations by aligning collaborative signals with semantic information. 📝" [X Link](https://x.com/_reachsumit/status/1978334079989764325) [@_reachsumit](/creator/x/_reachsumit) 2025-10-15T05:36Z 3367 followers, XXX engagements "FACE: A General Framework for Mapping Collaborative Filtering Embeddings into LLM Tokens Converts collaborative filtering embeddings into interpretable LLM tokens using disentangled projection and quantized autoencoders. 📝 👨🏽💻" [X Link](https://x.com/_reachsumit/status/1980094998654996825) [@_reachsumit](/creator/x/_reachsumit) 2025-10-20T02:13Z 3368 followers, XXX engagements "Mixture of Experts Approaches in Dense Retrieval Tasks Presents a modular framework that integrates a single Mixture-of-Experts block into dense retrieval models to enhance performance particularly for lightweight models. 📝 👨🏽💻" [X Link](https://x.com/_reachsumit/status/1980095582883733998) [@_reachsumit](/creator/x/_reachsumit) 2025-10-20T02:15Z 3368 followers, XXX engagements "Enhance Large Language Models as Recommendation Systems with Collaborative Filtering Integrates collaborative filtering into LLMs for recommendations without fine-tuning using a separate Critic model to provide feedback and refine outputs. 📝" [X Link](https://x.com/_reachsumit/status/1980095836471349355) [@_reachsumit](/creator/x/_reachsumit) 2025-10-20T02:16Z 3367 followers, XXX engagements "GRank: Towards Target-Aware and Streamlined Industrial Retrieval with a Generate-Rank Framework Kuaishou presents a structured-index-free retrieval framework combining target-aware generation with lightweight ranking in billion-scale industrial systems" [X Link](https://x.com/_reachsumit/status/1980096288462114972) [@_reachsumit](/creator/x/_reachsumit) 2025-10-20T02:18Z 3368 followers, XXX engagements "MTmixAtt: Integrating Mixture-of-Experts with Multi-Mix Attention for Large-Scale Recommendation Meituan proposes a unified MoE architecture with Multi-Mix Attention for large-scale recommendation featuring automatic token clustering. 📝" [X Link](https://x.com/_reachsumit/status/1980096626988659131) [@_reachsumit](/creator/x/_reachsumit) 2025-10-20T02:19Z 3368 followers, XXX engagements "Towards Context-aware Reasoning-enhanced Generative Searching in E-commerce Kuaishou introduces a context-aware reasoning-enhanced generative search framework that unifies heterogeneous contexts and uses self-evolving post-training. 📝" [X Link](https://x.com/_reachsumit/status/1980506719517372811) [@_reachsumit](/creator/x/_reachsumit) 2025-10-21T05:29Z 3367 followers, XXX engagements "Improving Visual Recommendation on E-commerce Platforms Using Vision-Language Models Mercari fine-tunes SigLIP on product image-title pairs to get XXX% offline improvement and XX% CTR increase in production for visual similarity-based recommendations. 📝" [X Link](https://x.com/_reachsumit/status/1978704533145477218) [@_reachsumit](/creator/x/_reachsumit) 2025-10-16T06:08Z 3368 followers, XXX engagements "Structure-R1: Dynamically Leveraging Structural Knowledge in LLM Reasoning through Reinforcement Learning @jlwu002 transforms retrieved content into structured representations optimized for reasoning using RL" [X Link](https://x.com/_reachsumit/status/1980097061187112973) [@_reachsumit](/creator/x/_reachsumit) 2025-10-20T02:21Z 3370 followers, 2715 engagements "How role-play shapes relevance judgment in zero-shot LLM rankers Reveals that role-play prompts significantly impact zero-shot LLM ranking performance with role-play signals predominantly encoded in early layers. 📝 👨🏽💻" [X Link](https://x.com/_reachsumit/status/1980505563143500285) [@_reachsumit](/creator/x/_reachsumit) 2025-10-21T05:24Z 3369 followers, XXX engagements "Search Self-play: Pushing the Frontier of Agent Capability without Supervision Alibaba introduces a self-play training method for deep search agents where the model acts as both question proposer and solver. 📝 👨🏽💻" [X Link](https://x.com/_reachsumit/status/1980827675167281361) [@_reachsumit](/creator/x/_reachsumit) 2025-10-22T02:44Z 3370 followers, XXX engagements "LIME: Link-based User-Item Interaction Modeling with Decoupled XOR Attention for Efficient Test Time Scaling Meta uses link embeddings and XOR attention to achieve cross-attention expressiveness with two-tower efficiency enabling 10x inference speedup" [X Link](https://x.com/_reachsumit/status/1980826713291714732) [@_reachsumit](/creator/x/_reachsumit) 2025-10-22T02:41Z 3370 followers, XXX engagements "Enterprise Deep Research: Steerable Multi-Agent Deep Research for Enterprise Analytics @aksh_555 et al. at Salesforce introduce a multi-agent deep research system to generate comprehensive research reports" [X Link](https://x.com/_reachsumit/status/1980508262110998804) [@_reachsumit](/creator/x/_reachsumit) 2025-10-21T05:35Z 3370 followers, XXX engagements "Lost in the Maze: Overcoming Context Limitations in Long-Horizon Agentic Search Separates search and browse tools with periodic summarization to enable longer more efficient web searches while managing context constraints. 📝 👨🏽💻" [X Link](https://x.com/_reachsumit/status/1981196650900312210) [@_reachsumit](/creator/x/_reachsumit) 2025-10-23T03:11Z 3370 followers, XXX engagements
[GUEST ACCESS MODE: Data is scrambled or limited to provide examples. Make requests using your API key to unlock full data. Check https://lunarcrush.ai/auth for authentication information.]
@_reachsumit Sumit
Sumit posts on X about kuaishou, meituan, signals, built on the most. They currently have XXXXX followers and XX posts still getting attention that total XXX engagements in the last XX hours.
Engagements: XXX #
- X Week XXXXXX +57%
- X Month XXXXXX +85%
- X Months XXXXXX -XX%
- X Year XXXXXXX -XX%
Mentions: XX #
- X Week XX +68%
- X Month XX +28%
- X Months XXX +54%
- X Year XXX +171%
Followers: XXXXX #
- X Week XXXXX +0.24%
- X Month XXXXX +1.20%
- X Months XXXXX +13%
- X Year XXXXX +36%
CreatorRank: XXXXXXXXX #
Social Influence #
Social category influence social networks XXXX% technology brands XXXX%
Social topic influence kuaishou 11.9%, meituan 4.76%, signals 4.76%, built on 2.38%, bytedance 2.38%, prediction 2.38%, token 2.38%, $4385t 2.38%, llm 2.38%, alibaba XXXX%
Top accounts mentioned or mentioned by @guz @hschechtr @mufeili @seirasto @jlwu002 @aksh555 @dineshkuma88111
Top Social Posts #
Top posts by engagements in the last XX hours
"Haystack Engineering: Context Engineering for Heterogeneous and Agentic Long-Context Evaluation @Mufei_Li et al. present a benchmark built on Wikipedia's hyperlink network"
X Link @_reachsumit 2025-10-10T02:50Z 3367 followers, XXX engagements
"OneRec-Think: In-Text Reasoning for Generative Recommendation Kuaishou integrates dialogue reasoning and personalized recommendation"
X Link @_reachsumit 2025-10-14T05:38Z 3367 followers, XXX engagements
"HoMer: Addressing Heterogeneities by Modeling Sequential and Set-wise Contexts for CTR Prediction Meituan presents a unified transformer that jointly models panoramic sequences and set-wise item interactions for click-through rate prediction. 📝"
X Link @_reachsumit 2025-10-14T05:51Z 3368 followers, XXX engagements
"Differentiable Fast Top-K Selection for Large-Scale Recommendation Kuaishou introduces a differentiable Top-K operator with linear O(n) time complexity for cascade ranking systems. 📝 👨🏽💻"
X Link @_reachsumit 2025-10-14T06:01Z 3367 followers, XXX engagements
"SAIL-Embedding Technical Report: Omni-modal Embedding Foundation Model ByteDance presents a foundation model that supports multifaceted multimodal retrieval and classification by accommodating arbitrary modality inputs including text vision and audio"
X Link @_reachsumit 2025-10-15T05:33Z 3367 followers, XXX engagements
"SMILE: SeMantic Ids Enhanced CoLd Item Representation for Click-through Rate Prediction in E-commerce SEarch Kuaishou uses RQ-OPQ encoding to enhance cold-start item representations by aligning collaborative signals with semantic information. 📝"
X Link @_reachsumit 2025-10-15T05:36Z 3367 followers, XXX engagements
"FACE: A General Framework for Mapping Collaborative Filtering Embeddings into LLM Tokens Converts collaborative filtering embeddings into interpretable LLM tokens using disentangled projection and quantized autoencoders. 📝 👨🏽💻"
X Link @_reachsumit 2025-10-20T02:13Z 3368 followers, XXX engagements
"Mixture of Experts Approaches in Dense Retrieval Tasks Presents a modular framework that integrates a single Mixture-of-Experts block into dense retrieval models to enhance performance particularly for lightweight models. 📝 👨🏽💻"
X Link @_reachsumit 2025-10-20T02:15Z 3368 followers, XXX engagements
"Enhance Large Language Models as Recommendation Systems with Collaborative Filtering Integrates collaborative filtering into LLMs for recommendations without fine-tuning using a separate Critic model to provide feedback and refine outputs. 📝"
X Link @_reachsumit 2025-10-20T02:16Z 3367 followers, XXX engagements
"GRank: Towards Target-Aware and Streamlined Industrial Retrieval with a Generate-Rank Framework Kuaishou presents a structured-index-free retrieval framework combining target-aware generation with lightweight ranking in billion-scale industrial systems"
X Link @_reachsumit 2025-10-20T02:18Z 3368 followers, XXX engagements
"MTmixAtt: Integrating Mixture-of-Experts with Multi-Mix Attention for Large-Scale Recommendation Meituan proposes a unified MoE architecture with Multi-Mix Attention for large-scale recommendation featuring automatic token clustering. 📝"
X Link @_reachsumit 2025-10-20T02:19Z 3368 followers, XXX engagements
"Towards Context-aware Reasoning-enhanced Generative Searching in E-commerce Kuaishou introduces a context-aware reasoning-enhanced generative search framework that unifies heterogeneous contexts and uses self-evolving post-training. 📝"
X Link @_reachsumit 2025-10-21T05:29Z 3367 followers, XXX engagements
"Improving Visual Recommendation on E-commerce Platforms Using Vision-Language Models Mercari fine-tunes SigLIP on product image-title pairs to get XXX% offline improvement and XX% CTR increase in production for visual similarity-based recommendations. 📝"
X Link @_reachsumit 2025-10-16T06:08Z 3368 followers, XXX engagements
"Structure-R1: Dynamically Leveraging Structural Knowledge in LLM Reasoning through Reinforcement Learning @jlwu002 transforms retrieved content into structured representations optimized for reasoning using RL"
X Link @_reachsumit 2025-10-20T02:21Z 3370 followers, 2715 engagements
"How role-play shapes relevance judgment in zero-shot LLM rankers Reveals that role-play prompts significantly impact zero-shot LLM ranking performance with role-play signals predominantly encoded in early layers. 📝 👨🏽💻"
X Link @_reachsumit 2025-10-21T05:24Z 3369 followers, XXX engagements
"Search Self-play: Pushing the Frontier of Agent Capability without Supervision Alibaba introduces a self-play training method for deep search agents where the model acts as both question proposer and solver. 📝 👨🏽💻"
X Link @_reachsumit 2025-10-22T02:44Z 3370 followers, XXX engagements
"LIME: Link-based User-Item Interaction Modeling with Decoupled XOR Attention for Efficient Test Time Scaling Meta uses link embeddings and XOR attention to achieve cross-attention expressiveness with two-tower efficiency enabling 10x inference speedup"
X Link @_reachsumit 2025-10-22T02:41Z 3370 followers, XXX engagements
"Enterprise Deep Research: Steerable Multi-Agent Deep Research for Enterprise Analytics @aksh_555 et al. at Salesforce introduce a multi-agent deep research system to generate comprehensive research reports"
X Link @_reachsumit 2025-10-21T05:35Z 3370 followers, XXX engagements
"Lost in the Maze: Overcoming Context Limitations in Long-Horizon Agentic Search Separates search and browse tools with periodic summarization to enable longer more efficient web searches while managing context constraints. 📝 👨🏽💻"
X Link @_reachsumit 2025-10-23T03:11Z 3370 followers, XXX engagements