Tracked topic
Large language models are machine learning models trained to predict and generate text and other language-based outputs.
…A Comprehensive Survey of Rollout Strategies for LLM Reinforcement Learning Published on Apr 8 Submitted by Rohan Surana on May 6 McAuley-Lab Authors: Rohan Surana , , , , Zhenwei Tang , , , , , , , , , , , , , , Kuan-Hao Huang , , , Abstract…
…AI-generated summary Self-distillation (SD) offers a promising path for adapting large language models (LLMs) without relying on stronger external teachers. However, SD in autoregressive LLMs remains challenging because self-generated…
…SpeechEditBench provides a rigorous diagnostic framework to identify bottlenecks in Speech LLMs, thereby facilitating the development of next-generation Speech LLMs with more robust and precise instruction-guided editing capabilities. Data and…
…Deployment-Time Layer Profiling for Memory-Constrained LLM Inference (2026) The Illusion of Power Capping in LLM Decode: A Phase-Aware Energy Characterisation Across Attention Architectures (2026) Blink: CPU-Free LLM Inference…
…Internal-Signal Detection of Skill Poisoning in LLM Agents (2026) ARGUS: Defending LLM Agents Against Context-Aware Prompt Injection (2026) Please give a thumbs up to this comment if you found it…
…Sparse Decoupled Attention for Efficient Long-Context LLM Inference Published on Jun 3 Submitted by Yaosheng Fu on Jun 11 NVIDIA Authors: Yaosheng Fu , , , , Abstract SparDA is a decoupled sparse attention architecture…
…Steering LLM Logical Reasoning via Alignment of Natural-Language and Symbolic Views (2026) Where Reasoning Breaks: Logic-Aware Path Selection by Controlling Logical Connectives in LLMs Reasoning Chains (2026) When Chain-of…
Papers arxiv:2605.09252 LLM Agents Already Know When to Call Tools -- Even Without Reasoning Published on May 10 Submitted by Chung-En, Sun on May 13 Authors: Chung-En Sun , , , , Abstract…
…First, a BEV representation consolidates multi-view spatial information into a structure compatible with LLMs. Second, we introduce LLM-enhanced world queries to facilitate knowledge transfer from the understanding branch. Third, a…
…Generated by Qwen/Qwen2.5-Coder-32B-Instruct Reinforcement learning (RL) post-training has shown to improve reasoning in large language models (LLMs). However, there has been little exploration on the problem…