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5 papers

cs.CL2026

Source or It Didn't Happen: A Multi-Agent Framework for Citation Hallucination Detection

Mingzhe Li, Zhiqiang Lin, Shiqing Ma

The paper presents CiteTracer, a multi‑agent system that detects fabricated citations generated by large language models by extracting structured references, retrieving evidence, a…

cs.CV2026

SenseNova-U1: Unifying Multimodal Understanding and Generation with NEO-unify Architecture

Haiwen Diao, Penghao Wu, Hanming Deng +55

Recent large vision-language models (VLMs) remain fundamentally constrained by a persistent dichotomy: understanding and generation are treated as distinct problems, leading to fra…

cs.AI2026

A Survey of Reasoning in Autonomous Driving Systems: Open Challenges and Emerging Paradigms

Kejin Yu, Yuhan Sun, Taiqiang Wu +5

The development of high-level autonomous driving (AD) is shifting from perception-centric limitations to a more fundamental bottleneck, namely, a deficit in robust and generalizabl…

cs.CL2026

SIN-Bench: Tracing Native Evidence Chains in Long-Context Multimodal Scientific Interleaved Literature

Yiming Ren, Junjie Wang, Yuxin Meng +11

Evaluating whether multimodal large language models truly understand long-form scientific papers remains challenging: answer-only metrics and synthetic "Needle-In-A-Haystack" tests…

cs.CV2025

AnyCap Project: A Unified Framework, Dataset, and Benchmark for Controllable Omni-modal Captioning

Yiming Ren, Zhiqiang Lin, Yu Li +8

Controllable captioning is essential for precise multimodal alignment and instruction following, yet existing models often lack fine-grained control and reliable evaluation protoco…