Large Language Models

TLoRA: Task-aware Low Rank Adaptation of Large Language Models ACL 2026 TLPO: Token-Level Policy Optimization for Mitigating Language Confusion in Large Language Models ACL 2026 TLSA: LLM-Guided Text-Label Space Alignment with Contrastive Learning for Generalized Category Discovery ACL 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 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 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 Too Correct to Learn: Reinforcement Learning on Saturated Reasoning Data ACL 2026 ToolOmni: Enabling Open-World Tool Use via Agentic learning with Proactive Retrieval and Grounded Execution ACL 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 Too Nice to Tell the Truth: Quantifying Agreeableness-Driven Sycophancy in Role-Playing Language Models ACL 2026 To Think or Not to Think: The Hidden Cost of Meta-Training with Excessive CoT Examples ACL 2026 Toward Consistent World Models with Multi-Token Prediction and Latent Semantic Enhancement ACL 2026 Towards a Mechanistic Understanding of Large Reasoning Models: A Survey of Training, Inference, and Failures ACL 2026 Toward Scalable Verifiable Reward: Proxy State-Based Evaluation for Multi-turn Tool-Calling LLM Agents ACL 2026 Toward Secure Tuning: Mitigating Security Risks from Instruction Fine-Tuning ACL 2026 Towards Effective and Efficient Multi-Agent Language Model Systems: Foundations, Prospects, and Applications ACL 2026 Towards Highly-Constrained Human Motion Generation with Retrieval-Guided Diffusion Noise Optimization CVPR 2026 Towards Interpretable Tabular Reasoning: Enhancing LLM Reasoning on Tabular Data with Pre-Constructed Logic Graph ACL 2026