works on

From the 1 of 9 linked papers with an AI index.

collaborators

9 papers

cs.LG2026

Beyond Entropy: Correctness-Aware Advantage Shaping via Contrastive Policy Optimization

Weiwen Xu, Jia Liu, Hou Pong Chan +4

The paper proposes Contrastive Policy Optimization, which leverages token‑level contrastive disagreement between reference‑guided and standard generation distributions to provide a…

cs.CL2025

SeaLLMs-Audio: Large Audio-Language Models for Southeast Asia

Chaoqun Liu, Mahani Aljunied, Guizhen Chen +4

We introduce SeaLLMs-Audio, the first large audio-language model (LALM) tailored for multiple Southeast Asian (SEA) languages-Indonesian (id), Thai (th), and Vietnamese (vi)-alongs…

cs.CL2025

Scaling Language-Centric Omnimodal Representation Learning

Chenghao Xiao, Hou Pong Chan, Hao Zhang +3

Recent multimodal embedding approaches leveraging multimodal large language models (MLLMs) fine-tuned with contrastive learning (CL) have shown promising results, yet the underlyin…

cs.CL2025

ReasonMed: A 370K Multi-Agent Generated Dataset for Advancing Medical Reasoning

Yu Sun, Xingyu Qian, Weiwen Xu +8

Reasoning-based large language models have excelled in mathematics and programming, yet their potential in knowledge-intensive medical question answering remains underexplored and…

cs.CL2025

MMA-ASIA: A Multilingual and Multimodal Alignment Framework for Culturally-Grounded Evaluation

Weihua Zheng, Zhengyuan Liu, Tanmoy Chakraborty +32

Large language models (LLMs) are now used worldwide, yet their multimodal understanding and reasoning often degrade outside Western, high-resource settings. We propose MMA-ASIA, a…

cs.CL2025

GeoPQA: Bridging the Visual Perception Gap in MLLMs for Geometric Reasoning

Guizhen Chen, Weiwen Xu, Hao Zhang +4

Recent advancements in reinforcement learning (RL) have enhanced the reasoning abilities of large language models (LLMs), yet the impact on multimodal LLMs (MLLMs) is limited. Part…