news

Feb 25, 2026	Our paper REVISOR: Beyond Textual Reflection, Towards Multimodal Introspective Reasoning in Long-Form Video Understanding has been accepted to CVPR 2026! This work proposes a tool-augmented MLLM reasoning framework that enables introspective reasoning across both visual and textual modalities, significantly improving long-form video understanding.
Jan 15, 2026	Excited to share that I’ve completed my internship at Tencent and have begun a research internship at Xiaomi! My project focuses on enhancing the spatial perception capabilities of MLLMs, primarily through post-training methods, emphasizing effective reasoning frameworks and innovative training strategies.
Oct 7, 2025	Our paper The Mirage of Performance Gains: Why Contrastive Decoding Fails to Mitigate Object Hallucinations in MLLMs? has been accepted to NeurIPS 2025! This work reveals that contrastive decoding fails to genuinely mitigate hallucinations. Any apparent improvements are merely artifacts of confounding factors, not true effectiveness.
Sep 15, 2025	Excited to share that I’ve begun a research internship at Tencent! My project will involve exploring how to boost the common sense reasoning abilities of MLLMs. This will primarily be achieved through post-training approaches, focusing on efficient data construction and innovative training strategy design.
Feb 28, 2025	Our paper Lifting the Veil on Visual Information Flow in MLLMs: Unlocking Pathways to Faster Inference has been accepted to CVPR 2025! This work investigates the internal visual information flow patterns in MLLMs and proposes a novel training-free inference acceleration method based on our findings.
Feb 28, 2025	Our paper ClearSight: Visual Signal Enhancement for Object Hallucination Mitigation in Multimodal Large Language Models has been accepted to CVPR 2025! In this work, we present a method to mitigate object hallucination in MLLMs by strengthening attention to visual input.