Tracked topic
Large language models are machine learning models trained to predict and generate text and other language-based outputs.
…A Population-Based Heuristic Search Framework for Scientific Idea Generation (2026) What Makes an LLM a Good Optimizer? A Trajectory Analysis of LLM-Guided Evolutionary Search (2026) SeaEvo: Advancing Algorithm Discovery with…
…Liangqi Yuan , , , , Abstract Collaborative intelligence enables multiple distributed LLMs to work together across devices and clouds to provide high-quality responses under diverse resource constraints. AI-generated summary Large language models (LLMs…
…Given LLMs' commonsense knowledge and social intelligence, we ask: Can LLMs model the dynamics of social beliefs following social events? In this work, we introduce the concept of the Social World Model…
…Improving LLM-Authored Agent Skills via Trace-Conditioned Skill Revision (2026) Skills on the Fly: Test-Time Adaptive Skill Synthesis for LLM Agents (2026) SkillX: Automatically Constructing Skill Knowledge Bases for Agents…
…Generated by Qwen/Qwen2.5-Coder-32B-Instruct Prior work has shown that instruction-tuned large language models (LLMs) are less well calibrated than their base pre-trained counterparts. However, little is…
…Stronger Search Architectures Can Substitute for Larger LLMs in Evolutionary Search (2026) Quality-Diversity Evolution for Discovering Diverse Vulnerabilities in LLM Safety (2026) TurboEvolve: Towards Fast and Robust LLM-Driven Program Evolution…
…An Optimizing Compiler for Structured LLM Workflows Published on May 13 Submitted by Junyan Li on May 14 University of Massachusetts Amherst Authors: , , , , Abstract FlowCompile is a structured LLM workflow compiler that…
Papers arxiv:2605.09271 Shaping Schema via Language Representation as the Next Frontier for LLM Intelligence Expanding Published on May 10 Submitted by zhiqin yang on May 12 Authors: , , , , , Abstract Language representation…
…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…
…Generated by Qwen/Qwen2.5-Coder-32B-Instruct Can Large Language Models (LLMs) understand and reason about quantum operators ? Despite their remarkable capabilities in mathematics and symbolic reasoning, LLMs remain inherently blind…