Artificial Intelligence
83,018 papers (0 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
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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