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Artificial Intelligence

83,018 papers (0 classified directly here)

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Papers (including subtopics)

TMDC: A Two-Stage Modality Denoising and Complementation Framework for Multimodal Sentiment Analysis with Missing and Noisy Modalities AAAI 2026 To Align or Not to Align: Strategic Multimodal Representation Alignment for Optimal Performance AAAI 2026 ToC: Tree-of-Claims Search with Multi-Agent Language Models AAAI 2026 TOFA: Training-Free One-Shot Federated Adaptation for Vision-Language Models AAAI 2026 TO-GATE: Clarifying Questions and Summarizing Responses with Trajectory Optimization for Eliciting Human Preference AAAI 2026 To Judge or Not to Judge: Can Large Language Models Leverage the Dispute Focus in Legal Judgment? ACL 2026 TokDrift: When LLM Speaks in Subwords but Code Speaks in Grammar ACL 2026 Tokenization Allows Multimodal Large Language Models to Understand, Generate and Edit Architectural Floor Plans CVPR 2026 Tokenization and Morphological Fidelity in Uralic NLP: A Cross-Lingual Evaluation EACL 2026 Tokenizer-Aware Cross-Lingual Adaptation of Decoder-Only LLMs through Embedding Relearning and Swapping EACL 2026 Token-Level Policy Optimization: Linking Group-Level Rewards to Token-Level Aggregation via sequence-level likelihood ACL 2026 Token Reduction via Local and Global Contexts Optimization for Efficient Video Large Language Models CVPR 2026 TokenTiming: A Dynamic Alignment Method for Universal Speculative Decoding Model Pairs ACL 2026 Token Warping Helps MLLMs Look from Nearby Viewpoints CVPR 2026 To Lie or Not to Lie? Investigating The Biased Spread of Global Lies by LLMs ACL 2026 ToMMeR - Efficient Entity Mention Detection from Large Language Models ACL 2026 TongUI: Internet-Scale Trajectories from Multimodal Web Tutorials for Generalized GUI Agents AAAI 2026 Too Correct to Learn: Reinforcement Learning on Saturated Reasoning Data ACL 2026 ToolACE-R: Model-aware Iterative Training and Adaptive Refinement for Tool learning AAAI 2026 ToolDreamer: Instilling LLM Reasoning Into Tool Retrievers EACL 2026 ToolOmni: Enabling Open-World Tool Use via Agentic learning with Proactive Retrieval and Grounded Execution ACL 2026 Too Long, Didn’t Model: Decomposing LLM Long Context Understanding With Novels EACL 2026 Too Long, Do Re-weighting for Efficient LLM Reasoning Compression ACL 2026 ToolPRM: Fine-Grained Inference Scaling of Structured Outputs for Function Calling ACL 2026 ToolScope: Enhancing LLM Agent Tool Use through Tool Merging and Context-Aware Filtering ACL 2026