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Artificial Intelligence

83,018 papers (0 classified directly here)

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Papers (including subtopics)

Do LLMs Really Need 10+ Thoughts for “Find the Time 1000 Days Later”? Towards Structural Understanding of LLM Overthinking ACL 2026 Do LLMs Really Struggle at NL-FOL Translation? Revealing Their Strengths via a Novel Benchmarking Strategy AAAI 2026 Domain Adaptation Guided Infrared and Visible Image Fusion AAAI 2026 DomainCQA: Crafting Knowledge-Intensive QA from Domain-Specific Charts AAAI 2026 Domain Faithfulness through Counterfactually Robust Learning CLeaR 2026 Domain Generalizable AI Guardrails with Augmented Policy Training ACL 2026 Domain Generalizing DINO for Visual Regression via Latent Distractor Subspace Consistency WACV 2026 Dominance Pruning and Heuristics in Optimal Adversarial Non-Deterministic Planning AAAI 2026 Do Mixed-Vendor Multi-Agent LLMs Improve Clinical Diagnosis? EACL 2026 Do MLLMs Capture How Interfaces Guide User Behavior? A Benchmark for Multimodal UI/UX Design Understanding ACL 2026 Do Morals Guide How LLMs Think? The Role of Ethical Perspectives in General Problem Solving ACL 2026 Do Multi-Agents Solve Better Than Single? Evaluating Agentic Frameworks for Diagram-Grounded Geometry Problem Solving and Reasoning EACL 2026 Do Not Step Into the Same River Twice: Learning to Reason from Trial and Error ACL 2026 Don’t Act Blindly: Robust GUI Automation via Action-Effect Verification and Self-Correction ACL 2026 Don’t Adapt Small Language Models for Tools; Adapt Tool Schemas to the Models ACL 2026 Don’t Click That: Teaching Web Agents to Resist Deceptive Interfaces ACL 2026 Don’t Corrupt the Fact: A Trustworthy RAG Watermarking Framework based on Dual Factual Shield ACL 2026 Don’t Judge a Book by its Cover: Testing LLMs’ Robustness Under Logical Obfuscation EACL 2026 Don’t Judge Code by Its Cover: Exploring Biases in LLM Judges for Code Evaluation EACL 2026 Don't Show Pixels, Show Cues: Unlocking Visual Tool Reasoning in Language Models via Perception Programs CVPR 2026 Don’t Stop Early: Scalable Enterprise Deep Research with Controlled Information Flow and Evidence-Aware Termination ACL 2026 Don’t Test What You Can Deduce: Causal Discovery with Logical Inference UAI 2026 Don’t Trust Generative Agents to Mimic Communication on Social Networks Unless You Benchmarked their Empirical Realism EACL 2026 Do Political Opinions Transfer Between Western Languages? An Analysis of Unaligned and Aligned Multilingual LLMs EACL 2026 Do Psychometric Tests Work for Large Language Models? Evaluation of Tests on Sexism, Racism, and Morality EACL 2026