collaborators

7 papers

cs.CV2026

RECAP: Looking Once Is Not Enough for Vision-Language Reasoning

Zhaolu Kang, Tailong Luo, Chenxin Li +13

Long chain-of-thought reasoning improves vision-language models (VLMs), but it also exposes a temporal grounding failure: as generation unfolds, models may drift from image evidenc…

cs.CV2026

DRILL: Training World Models to Improve Policies, Not Predict Pixels

Zhaolu Kang, Tailong Luo, Lei Wei +9

World models are increasingly used to reduce environment interaction when post-training vision-language-action (VLA) policies with reinforcement learning. Yet they are typically tr…

cs.CV2026

Behavior Pack Optimization for Video MLLM Post-Training

Zhaolu Kang, Shiyu Liu, Tailong Luo +12

Video multimodal large language models (MLLMs) keep climbing video question answering benchmarks, yet shuffling the frames, masking the segment that supports the answer, or occludi…

cs.CL2026

JPO: Juris Policy Optimization for Structured Legal Reasoning in Criminal Judgment Prediction

Zhaolu Kang, Yantao Liu, Tailong Luo +14

Criminal judgment prediction requires models to infer statutory articles, charges, and sentencing outcomes from case facts. Unlike standard classification tasks, it involves a stru…

cs.CL2026

MultiPress: A Multi-Agent Framework for Interpretable Multimodal News Classification

Tailong Luo, Hao Li, Rong Fu +7

With the growing prevalence of multimodal news content, effective news topic classification demands models capable of jointly understanding and reasoning over heterogeneous data su…

cs.NI2026

Chimera: Neuro-Symbolic Attention Primitives for Trustworthy Dataplane Intelligence

Rong Fu, Xiaowen Ma, Kun Liu +8

Deploying expressive learning models directly on programmable dataplanes promises line-rate, low-latency traffic analysis but remains hindered by strict hardware constraints and th…

cs.CV2026

Beyond Shadows: A Large-Scale Benchmark and Multi-Stage Framework for High-Fidelity Facial Shadow Removal

Tailong Luo, Jiesong Bai, Jinyang Huang +3

Facial shadows often degrade image quality and the performance of vision algorithms. Existing methods struggle to remove shadows while preserving texture, especially under complex…