AutoTrainess: Teaching Language Models to Improve Language Models Autonomously Paper • 2606.31551 • Published 18 days ago • 24
AutoTrainess: Teaching Language Models to Improve Language Models Autonomously Paper • 2606.31551 • Published 18 days ago • 24
GUI vs. CLI: Execution Bottlenecks in Screen-Only and Skill-Mediated Computer-Use Agents Paper • 2606.24551 • Published 26 days ago • 28
VideoKR: Towards Knowledge- and Reasoning-Intensive Video Understanding Paper • 2606.05259 • Published Jun 3 • 39
FineVerify: Scaling Test-Time Compute with Fine-Grained Self-Verification for Agentic Search Paper • 2606.00660 • Published May 30 • 8
A Survey of Reasoning-Intensive Retrieval: Progress and Challenges Paper • 2605.00063 • Published Apr 30
OpenComputer: Verifiable Software Worlds for Computer-Use Agents Paper • 2605.19769 • Published May 19 • 87
OpenComputer: Verifiable Software Worlds for Computer-Use Agents Paper • 2605.19769 • Published May 19 • 87
P-FOLIO: Evaluating and Improving Logical Reasoning with Abundant Human-Written Reasoning Chains Paper • 2410.09207 • Published Oct 11, 2024
Analyzing Diffusion and Autoregressive Vision Language Models in Multimodal Embedding Space Paper • 2602.06056 • Published Jan 19
TexOCR: Advancing Document OCR Models for Compilable Page-to-LaTeX Reconstruction Paper • 2604.22880 • Published Apr 24 • 10
A Survey of Multimodal Mathematical Reasoning: From Perception, Alignment to Reasoning Paper • 2603.08291 • Published Apr 14
Rethinking Reasoning-Intensive Retrieval: Evaluating and Advancing Retrievers in Agentic Search Systems Paper • 2605.04018 • Published May 5 • 41
Rethinking Reasoning-Intensive Retrieval: Evaluating and Advancing Retrievers in Agentic Search Systems Paper • 2605.04018 • Published May 5 • 41
Learning to Learn-at-Test-Time: Language Agents with Learnable Adaptation Policies Paper • 2604.00830 • Published Apr 2 • 15
RbtAct: Rebuttal as Supervision for Actionable Review Feedback Generation Paper • 2603.09723 • Published Mar 10 • 7