1 citations · 2 across the 51 of their papers we have counts for
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Self-Manager: Parallel Agent Loop for Long-form Deep Research
Yilong Xu, Zhi Zheng, Xiang Long +2
Long-form deep research requires multi-faceted investigations over extended horizons to get a comprehensive report. When handling such complex tasks, existing agents manage context…
OptiSQL: Executable SQL Generation from Optical Tokens
Sifan Li, Hongkai Chen, Yujun Cai +3
Executable SQL generation is typically studied in text-to-SQL settings, where tables are provided as fully linearized textual schemas and contents. While effective, this formulatio…
Thinking with Sound: Audio Chain-of-Thought Enables Multimodal Reasoning in Large Audio-Language Models
Zhen Xiong, Yujun Cai, Zhecheng Li +2
Recent Large Audio-Language Models (LALMs) have shown strong performance on various audio understanding tasks such as speech translation and Audio Q\&A. However, they exhibit signi…
Blockwise SFT for Diffusion Language Models: Reconciling Bidirectional Attention and Autoregressive Decoding
Bowen Sun, Yujun Cai, Ming-Hsuan Yang +1
Discrete diffusion language models have shown strong potential for text generation, yet standard supervised fine-tuning (SFT) misaligns with their semi-autoregressive inference: tr…
Symbolic or Numerical? Understanding Physics Problem Solving in Reasoning LLMs
Nifu Dan, Yujun Cai, Yiwei Wang
Navigating the complexities of physics reasoning has long been a difficult task for Large Language Models (LLMs), requiring a synthesis of profound conceptual understanding and ade…
Unveiling the Potential of Diffusion Large Language Model in Controllable Generation
Zhen Xiong, Yujun Cai, Zhecheng Li +1
Controllable generation is a fundamental task in NLP with many applications, providing a basis for function calling to agentic communication. However, even state-of-the-art autoreg…
Answer-Centric or Reasoning-Driven? Uncovering the Latent Memory Anchor in LLMs
Yang Wu, Yifan Zhang, Yiwei Wang +5
While Large Language Models (LLMs) demonstrate impressive reasoning capabilities, growing evidence suggests much of their success stems from memorized answer-reasoning patterns rat…
Structured Attention Matters to Multimodal LLMs in Document Understanding
Chang Liu, Hongkai Chen, Yujun Cai +4
Document understanding remains a significant challenge for multimodal large language models (MLLMs). While previous research has primarily focused on locating evidence pages throug…
SemVink: Advancing VLMs' Semantic Understanding of Optical Illusions via Visual Global Thinking
Sifan Li, Yujun Cai, Yiwei Wang
Vision-language models (VLMs) excel in semantic tasks but falter at a core human capability: detecting hidden content in optical illusions or AI-generated images through perceptual…
Mapping the Minds of LLMs: A Graph-Based Analysis of Reasoning LLM
Zhen Xiong, Yujun Cai, Zhecheng Li +1
Recent advances in test-time scaling have enabled Large Language Models (LLMs) to display sophisticated reasoning abilities via extended Chain-of-Thought (CoT) generation. Despite…
MIRAGE: Multimodal Immersive Reasoning and Guided Exploration for Red-Team Jailbreak Attacks
Wenhao You, Bryan Hooi, Yiwei Wang +5
While safety mechanisms have significantly progressed in filtering harmful text inputs, MLLMs remain vulnerable to multimodal jailbreaks that exploit their cross-modal reasoning ca…
Texture or Semantics? Vision-Language Models Get Lost in Font Recognition
Zhecheng Li, Guoxian Song, Yujun Cai +3
Modern Vision-Language Models (VLMs) exhibit remarkable visual and linguistic capabilities, achieving impressive performance in various tasks such as image recognition and object l…