SWE-Explore: Benchmarking How Coding Agents Explore Repositories Paper • 2606.07297 • Published Jun 5 • 122
OmniCap-IF: Benchmarking and Improving Instruction Following Abilities for Omni-Video Captioning Paper • 2606.08572 • Published Jun 7 • 14
CoVEBench: Can Video Editing Models Handle Complex Instructions? Paper • 2606.08415 • Published Jun 7 • 52
TVIR: Building Deep Research Agents Towards Text--Visual Interleaved Report Generation Paper • 2606.02320 • Published Jun 1 • 15
MMG2Skill: Can Agents Distill In-the-Wild Guides into Self-Evolving Skills? Paper • 2606.01993 • Published Jun 1 • 15
Where Do Deep-Research Agents Go Wrong? Span-Level Error Localization in Agent Trajectories Paper • 2606.02060 • Published Jun 1 • 58
Solvita: Enhancing Large Language Models for Competitive Programming via Agentic Evolution Paper • 2605.15301 • Published May 14 • 22
InCoder-32B: Code Foundation Model for Industrial Scenarios Paper • 2603.16790 • Published Mar 17 • 312
T2AV-Compass: Towards Unified Evaluation for Text-to-Audio-Video Generation Paper • 2512.21094 • Published Dec 24, 2025 • 25
AVoCaDO: An Audiovisual Video Captioner Driven by Temporal Orchestration Paper • 2510.10395 • Published Oct 12, 2025 • 32
From Code Foundation Models to Agents and Applications: A Practical Guide to Code Intelligence Paper • 2511.18538 • Published Nov 23, 2025 • 306
MT-Video-Bench: A Holistic Video Understanding Benchmark for Evaluating Multimodal LLMs in Multi-Turn Dialogues Paper • 2510.17722 • Published Oct 20, 2025 • 20
OmniVideoBench: Towards Audio-Visual Understanding Evaluation for Omni MLLMs Paper • 2510.10689 • Published Oct 12, 2025 • 46