Tracked topic
Large language models are machine learning models trained to predict and generate text and other language-based outputs.
…Agreement-Gated Stress Testing of LLM-Judged Investment Rationales Before Returns Are Observable (2026) JudgeSense: A Benchmark for Prompt Sensitivity in LLM-as-a-Judge Systems (2026) Rethinking Atomic Decomposition for LLM…
…Surveying Collaboration, Failure Attribution, and Self-Evolution in LLM-based Multi-Agent Systems Published on May 14 Submitted by JieMa on May 15 Xi'an Jiaotong University Authors: , , , , , , , , , , , , , , , , , Abstract Multi-agent systems…
…Measuring and Enforcing Quantitative Goal Persistence in Long-Horizon LLM Agents (2026) CausalFlow: Causal Attribution and Counterfactual Repair for LLM Agent Failures (2026) Why LLMs Fail at Causal Discovery and How Interventional…
…Accelerating Agent Self-Evolution with Asynchronous Stage Orchestration Published on May 8 Submitted by Zhen Wang on May 12 University of California at San Diego Authors: , , Zhen Wang , , , , , , , , Abstract FlashEvolve enhances LLM…
…Building on this property, we train a lightweight Distiller at test time to predict deep-layer hidden representations of the LLM from its shallow-layer representations to model the LLM's depth…
…Generated by Qwen/Qwen2.5-Coder-32B-Instruct Video large language models (Video-LLMs) have demonstrated strong capabilities in video understanding tasks. However, their practical deployment is still hindered by the inefficiency…
…Exploring RLVR for LLMs in Knowledge-Intensive Domains (2026) ZeroCoder: Can LLMs Improve Code Generation Without Ground-Truth Supervision? (2026) Improving LLM Code Generation via Requirement-Aware Curriculum Reinforcement Learning (2026) Please…
…AI-generated summary Large Language Models (LLMs) are known to acquire reasoning capabilities through shared inference patterns in pre-training data, which are further elicited via Chain-of-Thought (CoT) practices. However…
…Dynamic Redteaming and Integration-Aware Defense for LLM Agents over SaaS Integrations (2026) HyDRA: Hybrid Dynamic Routing Architecture for Heterogeneous LLM Pools (2026) TwinRouterBench: Fast Static and Live Dynamic Evaluation for Realistic…
…A Scientific Compute Benchmark for Evolutionary LLM Kernel Search on Apple Silicon Published on May 10 Submitted by Victor Gallego on May 12 Authors: Víctor Gallego Abstract A benchmark for optimizing scientific…