Artificial Intelligence

Leibniz: Theory-of-Mind Driven Neuro-Symbolic Logical Reasoning via Multi-Agent Collaboration ACL 2026 LeLoRA: Learnable Low-Rank Adaptation of Large Language Models ACL 2026 Lenses: Toward Polysemous Vision-Language Understanding CVPR 2026 LENS: Latent Precision Inference in Multi-LLM Routing UAI 2026 LENS: Learning to Segment Anything with Unified Reinforced Reasoning AAAI 2026 LENS: LLM-Enabled Narrative Synthesis for Mental Health by Aligning Multimodal Sensing with Language Models ACL 2026 LensWalk: Agentic Video Understanding by Planning How You See in Videos CVPR 2026 LePREC: Reasoning as Classification over Structured Factors for Assessing Relevance of Legal Issues ACL 2026 Less is More: Adapting Text Embeddings for Low-Resource Languages with Small Scale Noisy Synthetic Data EACL 2026 Less is More: Improving LLM Reasoning with Minimal Test-Time Intervention ACL 2026 Less Is More: Rethinking Parameter-Efficient Fine-Tuning from a Subtractive Perspective AAAI 2026 Less Is More: Vision Representation Compression for Efficient Video Generation with Large Language Models AAAI 2026 Less Languages, Less Tokens: An Efficient Unified Logic Cross-lingual Chain-of-Thought Reasoning Framework ACL 2026 Lessons from the Field: An Adaptable Lifecycle Approach to Applied Dialogue Summarization EACL 2026 Lethe: Layer- and Time-Adaptive KV Cache Pruning for Reasoning-Intensive LLM Serving AAAI 2026 Let LLM Tutors Ask First: Proactive LLM-Based Tutoring at Scale in a 1,500-Student Online Classroom ACL 2026 Let’s Put Ourselves in Sally’s Shoes: Shoes-of-Others Prefilling Improves Theory of Mind in Large Language Models EACL 2026 Let’s Simplify Step by Step: Guiding LLM Towards Multilingual Unsupervised Proficiency-Controlled Sentence Simplification EACL 2026 Let’s Think with Images Efficiently! An Interleaved-Modal Chain-of-Thought Reasoning Framework with Dynamic and Precise Visual Thoughts AAAI 2026 Let the Model Learn to Feel: Mode-Guided Tonality Injection for Symbolic Music Emotion Recognition AAAI 2026 Let VLMs Grade Their Own Thoughts: A Self-Quantification Approach to Reasoning-Aware Reward Modeling CVPR 2026 Leveraging Class Distributions in CLIP for Weakly Supervised Semantic Segmentation CVPR 2026 Leveraging Failed Samples: A Few-Shot and Training-Free Framework for Generalized Deepfake Detection AAAI 2026 Leveraging Generative AI for Extracting Business Requirements from Legacy COBOL and PL/I Code ACL 2026 Leveraging Image as Compressed Visual Prompt and Hierarchical Visual Knowledge for Effective Image Utilization in MLLMs AAAI 2026