collaborators

6 papers

cs.AI2026

PRISMR: Overcoming Parse Collapse in Multimodal Listwise Ranking via Parameterized Representation Internalization

Hao Jiang, Xin Li, Annan Wang +4

Generative listwise ranking with Large Multimodal Models (LMMs) aims to capture global list context in a single forward pass, but its effectiveness degrades in long-context multimo…

cs.CV2026

OmniInteract: Benchmarking Real-World Streaming Interaction for Real-Time Omnimodal Assistants

Xudong Lu, Xueying Li, Annan Wang +8

We introduce OmniInteract, a streaming benchmark for real-time omnimodal large language models evaluated through native online inference over audio-visual streams. Unlike offline v…

cs.LG2026

The Extrapolation Cliff in On-Policy Distillation of Near-Deterministic Structured Outputs

Xin Li, Hao Jiang, Annan Wang +2

On-policy distillation (OPD) is widely used for LLM post-training. When pushed with a reward-extrapolation coefficient lambda > 1, the student can lift past the teacher in domain,…

cs.IR2026

RLPO: Residual Listwise Preference Optimization for Long-Context Review Ranking

Hao Jiang, Zhi Yang, Annan Wang +2

Review ranking is pivotal in e-commerce for prioritizing diagnostic and authentic feedback from the deluge of user-generated content. While large language models have improved sema…

cs.IR2024

MRSE: An Efficient Multi-modality Retrieval System for Large Scale E-commerce

Hao Jiang, Haoxiang Zhang, Qingshan Hou +4

Providing high-quality item recall for text queries is crucial in large-scale e-commerce search systems. Current Embedding-based Retrieval Systems (ERS) embed queries and items int…

cs.CV2024

Q-Ground: Image Quality Grounding with Large Multi-modality Models

Chaofeng Chen, Sensen Yang, Haoning Wu +6

Recent advances of large multi-modality models (LMM) have greatly improved the ability of image quality assessment (IQA) method to evaluate and explain the quality of visual conten…