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upvoted a paper 16 days ago

AVSCap: Orchestrating Audio-Visual Synergy for Omni-modal Video Captioning

Paper • 2607.12820 • Published Jul 14 • 3

upvoted a paper 18 days ago

StartupBench: Benchmarking General-Purpose Agents on Market-Validated End-to-End Workflows

Paper • 2608.17800 • Published 19 days ago • 11

upvoted 6 papers 3 months ago

SWE-Explore: Benchmarking How Coding Agents Explore Repositories

Paper • 2606.07297 • Published Jun 5 • 124

OmniCap-IF: Benchmarking and Improving Instruction Following Abilities for Omni-Video Captioning

Paper • 2606.08572 • Published Jun 7 • 15

CoVEBench: Can Video Editing Models Handle Complex Instructions?

Paper • 2606.08415 • Published Jun 7 • 53

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 • 17

Where Do Deep-Research Agents Go Wrong? Span-Level Error Localization in Agent Trajectories

Paper • 2606.02060 • Published Jun 1 • 59

upvoted a paper 4 months ago

Solvita: Enhancing Large Language Models for Competitive Programming via Agentic Evolution

Paper • 2605.15301 • Published May 14 • 23

upvoted a paper 5 months ago

CodeTracer: Towards Traceable Agent States

Paper • 2604.11641 • Published Apr 13 • 38

upvoted a paper 6 months ago

InCoder-32B: Code Foundation Model for Industrial Scenarios

Paper • 2603.16790 • Published Mar 17 • 312

upvoted 4 papers 9 months ago

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

ViDiC: Video Difference Captioning

Paper • 2512.03405 • Published Dec 3, 2025 • 29

From Code Foundation Models to Agents and Applications: A Practical Guide to Code Intelligence

Paper • 2511.18538 • Published Nov 23, 2025 • 307

upvoted a paper 10 months ago

MT-Video-Bench: A Holistic Video Understanding Benchmark for Evaluating Multimodal LLMs in Multi-Turn Dialogues

Paper • 2510.17722 • Published Oct 20, 2025 • 20

upvoted a paper 11 months ago

OmniVideoBench: Towards Audio-Visual Understanding Evaluation for Omni MLLMs

Paper • 2510.10689 • Published Oct 12, 2025 • 46