activity
20232026
collaborators

5 papers

cs.IR2026

FineRef: Fine-Grained Error Reflection and Correction for Long-Form Generation with Citations

Yixing Peng, Licheng Zhang, Shancheng Fang +3

Generating with citations is crucial for trustworthy Large Language Models (LLMs), yet even advanced LLMs often produce mismatched or irrelevant citations. Existing methods over-op…

cs.CV2025

ConsistCompose: Unified Multimodal Layout Control for Image Composition

Xuanke Shi, Boxuan Li, Xiaoyang Han +4

Unified multimodal models that couple visual understanding with image generation have advanced rapidly, yet most systems still focus on visual grounding-aligning language with imag…

cs.AI2025

Alignment Revisited: Are Large Language Models Consistent in Stated and Revealed Preferences?

Zhuojun Gu, Quan Wang, Shuchu Han

Recent advances in Large Language Models (LLMs) highlight the need to align their behaviors with human values. A critical, yet understudied, issue is the potential divergence betwe…

cs.CL2024

Zero-Shot Detection of LLM-Generated Text using Token Cohesiveness

Shixuan Ma, Quan Wang

The increasing capability and widespread usage of large language models (LLMs) highlight the desirability of automatic detection of LLM-generated text. Zero-shot detectors, due to…

cs.SD2023

Improved Long-Form Speech Recognition by Jointly Modeling the Primary and Non-primary Speakers

Guru Prakash Arumugam, Shuo-yiin Chang, Tara N. Sainath +3

ASR models often suffer from a long-form deletion problem where the model predicts sequential blanks instead of words when transcribing a lengthy audio (in the order of minutes or…