EvoScientist: Towards Multi-Agent Evolving AI Scientists for End-to-End Scientific Discovery Paper • 2603.08127 • Published Mar 9 • 14
CooperBench: Why Coding Agents Cannot be Your Teammates Yet Paper • 2601.13295 • Published Jan 19 • 5
Controlled Self-Evolution for Algorithmic Code Optimization Paper • 2601.07348 • Published Jan 12 • 116
GlimpRouter: Efficient Collaborative Inference by Glimpsing One Token of Thoughts Paper • 2601.05110 • Published Jan 8 • 29
MemGovern: Enhancing Code Agents through Learning from Governed Human Experiences Paper • 2601.06789 • Published Jan 11 • 81
Toward Efficient Agents: Memory, Tool learning, and Planning Paper • 2601.14192 • Published Jan 20 • 57
VersatileFFN: Achieving Parameter Efficiency in LLMs via Adaptive Wide-and-Deep Reuse Paper • 2512.14531 • Published Dec 16, 2025 • 15
TimeBill: Time-Budgeted Inference for Large Language Models Paper • 2512.21859 • Published Dec 26, 2025 • 25
Enhancing Automated Paper Reproduction via Prompt-Free Collaborative Agents Paper • 2512.02812 • Published Dec 2, 2025 • 1
Agent0: Unleashing Self-Evolving Agents from Zero Data via Tool-Integrated Reasoning Paper • 2511.16043 • Published Nov 20, 2025 • 111
AlphaResearch: Accelerating New Algorithm Discovery with Language Models Paper • 2511.08522 • Published Nov 11, 2025 • 18
Emergence of Linear Truth Encodings in Language Models Paper • 2510.15804 • Published Oct 17, 2025 • 3
Reasoning with Sampling: Your Base Model is Smarter Than You Think Paper • 2510.14901 • Published Oct 16, 2025 • 48
Expanding the Action Space of LLMs to Reason Beyond Language Paper • 2510.07581 • Published Oct 8, 2025 • 8
LongCodeZip: Compress Long Context for Code Language Models Paper • 2510.00446 • Published Oct 1, 2025 • 108
PromptCoT 2.0: Scaling Prompt Synthesis for Large Language Model Reasoning Paper • 2509.19894 • Published Sep 24, 2025 • 34