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cs.CL2025

Beyond Passive Critical Thinking: Fostering Proactive Questioning to Enhance Human-AI Collaboration

Ante Wang, Yujie Lin, Jingyao Liu +4

Critical thinking is essential for building robust AI systems, preventing them from blindly accepting flawed data or biased reasoning. However, prior work has primarily focused on…

cs.CL2025

A Token is Worth over 1,000 Tokens: Efficient Knowledge Distillation through Low-Rank Clone

Jitai Hao, Qiang Huang, Hao Liu +3

Training high-performing Small Language Models (SLMs) remains costly, even with knowledge distillation and pruning from larger teacher models. Existing work often faces three key c…

cs.CL2025

UGen: Unified Autoregressive Multimodal Model with Progressive Vocabulary Learning

Hongxuan Tang, Hao Liu, Xinyan Xiao

We introduce UGen, a unified autoregressive multimodal model that demonstrates strong performance across text processing, image understanding, and image generation tasks simultaneo…

cs.CL2025

BiDeV: Bilateral Defusing Verification for Complex Claim Fact-Checking

Yuxuan Liu, Hongda Sun, Wenya Guo +4

Complex claim fact-checking performs a crucial role in disinformation detection. However, existing fact-checking methods struggle with claim vagueness, specifically in effectively…

cs.CL2025

Investigating Inference-time Scaling for Chain of Multi-modal Thought: A Preliminary Study

Yujie Lin, Ante Wang, Moye Chen +4

Recently, inference-time scaling of chain-of-thought (CoT) has been demonstrated as a promising approach for addressing multi-modal reasoning tasks. While existing studies have pre…