Paper-Conference

Focusing by Contrastive Attention: Enhancing VLMs' Visual Reasoning
Vision-Language Models (VLMs) have demonstrated remarkable success across diverse visual tasks, yet their performance degrades in …
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HighlightBench: Benchmarking Markup-Driven Table Reasoning in Scientific Documents
Visual markups such as highlights, underlines, and bold text are common in table-centric documents. Although multimodal large language …
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a1: Steep Test-time Scaling Law via Environment Augmented Generation
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AuTAgent: A Reinforcement Learning Framework for Tool-Augmented Audio Reasoning
Large Audio Language Models (LALMs) excel at perception but struggle with complex reasoning requiring precise acoustic measurements. …
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Beyond Black-Box Interventions: Latent Probing for Faithful Retrieval-Augmented Generation
Retrieval-Augmented Generation (RAG) systems often fail to maintain contextual faithfulness, generating responses that conflict with …
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Gated Differentiable Working Memory for Long-Context Language Modeling
Long contexts break transformers: attention scores dilute across thousands of tokens, critical information gets lost in the middle, and …
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HiddenGuard: Fine-Grained Safe Generation with Specialized Representation Router
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Reward and Guidance through Rubrics: Promoting Exploration to Improve Multi-Domain Reasoning
Recent advances in reinforcement learning (RL) have significantly improved the complex reasoning capabilities of large language models …
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Can Graph Descriptive Order Affect Solving Graph Problems with LLMs?
Large language models (LLMs) have achieved significant success in reasoning tasks, including mathematical reasoning and logical …
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Can Graph Descriptive Order Affect Solving Graph Problems with LLMs?
Who is in the Spotlight: The Hidden Bias Undermining Multimodal Retrieval-Augmented Generation
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