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From the 1 of 13 linked papers with an AI index.

activity
20242026
collaborators

13 papers

cs.AI2026

MMLDSum-LLM: Multimodal Long-Document Summarization with Visual-Alignment and Keyword-Aware

Xianpeng Zhang, Jiahua Yang, Dongyu Chen +7

The paper presents a benchmark for multimodal long-document summarization and a two-stage training framework (MMLDSum-LLM) that incorporates visual-alignment and keyword-aware loss…

cs.LG2026

Stabilizing On-Policy Distillation for MLLM Reasoning with Global Normalization

Dongze Hao, Zhiwei Jin, Chen Chen +1

On-policy distillation (OPD) has recently emerged as an important post-training paradigm. By using a stronger teacher model to provide dense, fine-grained supervision for sampled t…

cs.AI2026

expo: Exploration-prioritized policy optimization via adaptive kl regulation and gaussian curriculum sampling

Mingxiong Lin, Zhangquan Gong, Maowen Tang +6

Reinforcement Learning with Verifiable Rewards (RLVR) has become the standard paradigm for LLM mathematical reasoning, where Group Relative Policy Optimization (GRPO) serves as the…

cs.LG2026

fg-expo: Frontier-guided exploration-prioritized policy optimization via adaptive kl and gaussian curriculum

Mingxiong Lin, Zhangquan Gong, Maowen Tang +6

Reinforcement Learning with Verifiable Rewards (RLVR) has become the standard paradigm for LLM mathematical reasoning, with Group Relative Policy Optimization (GRPO) serving as the…

cs.CV2026

PixelPrune: Pixel-Level Adaptive Visual Token Reduction via Predictive Coding

Nan Wang, Zhiwei Jin, Chen Chen +1

Document understanding and GUI interaction are among the highest-value applications of Vision-Language Models (VLMs), yet they impose exceptionally heavy computational burden: fine…

cs.CV2026

Pluggable Pruning with Contiguous Layer Distillation for Diffusion Transformers

Jian Ma, Qirong Peng, Xujie Zhu +3

Diffusion Transformers (DiTs) have shown exceptional performance in image generation, yet their large parameter counts incur high computational costs, impeding deployment in resour…