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cs.CL2026
FaithRL: Learning to Reason Faithfully through Step-Level Faithfulness Maximization
Runquan Gui, Yafu Li, Xiaoye Qu +3
Reinforcement Learning with Verifiable Rewards (RLVR) has markedly improved the performance of Large Language Models (LLMs) on tasks requiring multi-step reasoning. However, most R…
cs.CL2025
MIND: A Multi-agent Framework for Zero-shot Harmful Meme Detection
Ziyan Liu, Chunxiao Fan, Haoran Lou +2
The rapid expansion of memes on social media has highlighted the urgent need for effective approaches to detect harmful content. However, traditional data-driven approaches struggl…