CooperBench: Why Coding Agents Cannot be Your Teammates Yet Paper • 2601.13295 • Published 7 days ago • 1
Controlled Self-Evolution for Algorithmic Code Optimization Paper • 2601.07348 • Published 14 days ago • 112
GlimpRouter: Efficient Collaborative Inference by Glimpsing One Token of Thoughts Paper • 2601.05110 • Published 18 days ago • 29
MemGovern: Enhancing Code Agents through Learning from Governed Human Experiences Paper • 2601.06789 • Published 15 days ago • 77
Toward Efficient Agents: Memory, Tool learning, and Planning Paper • 2601.14192 • Published 6 days ago • 49
VersatileFFN: Achieving Parameter Efficiency in LLMs via Adaptive Wide-and-Deep Reuse Paper • 2512.14531 • Published Dec 16, 2025 • 14
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 • 109
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 • 107
PromptCoT 2.0: Scaling Prompt Synthesis for Large Language Model Reasoning Paper • 2509.19894 • Published Sep 24, 2025 • 34
Think-on-Graph 3.0: Efficient and Adaptive LLM Reasoning on Heterogeneous Graphs via Multi-Agent Dual-Evolving Context Retrieval Paper • 2509.21710 • Published Sep 26, 2025 • 19
LongLive: Real-time Interactive Long Video Generation Paper • 2509.22622 • Published Sep 26, 2025 • 185
Recon-Act: A Self-Evolving Multi-Agent Browser-Use System via Web Reconnaissance, Tool Generation, and Task Execution Paper • 2509.21072 • Published Sep 25, 2025 • 15