Artificial Intelligence › Core AI ›

Reasoning

2595 directly classified papers

Papers per year

Papers

OrderChain: Towards General Instruct-Tuning for Stimulating the Ordinal Understanding Ability of MLLM ICCV 2025

DWIM: Towards Tool-aware Visual Reasoning via Discrepancy-aware Workflow Generation & Instruct-Masking Tuning ICCV 2025

LIRA: Reasoning Reconstruction via Multimodal Large Language Models ICCV 2025

MMReason: An Open-Ended Multi-Modal Multi-Step Reasoning Benchmark for MLLMs Toward AGI ICCV 2025

What Changed and What Could Have Changed? State-Change Counterfactuals for Procedure-Aware Video Representation Learning ICCV 2025

HiERO: Understanding the Hierarchy of Human Behavior Enhances Reasoning on Egocentric Videos ICCV 2025

Mind the Gap: How BabyLMs Learn Filler-Gap Dependencies EMNLP 2025

Enrich-on-Graph: Query-Graph Alignment for Complex Reasoning with LLM Enriching EMNLP 2025

Accelerate Parallelizable Reasoning via Parallel Decoding within One Sequence EMNLP 2025

ComplexTempQA: A 100m Dataset for Complex Temporal Question Answering EMNLP 2025

Probing Logical Reasoning of MLLMs in Scientific Diagrams EMNLP 2025

Confidence-guided Refinement Reasoning for Zero-shot Question Answering EMNLP 2025

Language models can learn implicit multi-hop reasoning, but only if they have lots of training data EMNLP 2025

Black Swan: Abductive and Defeasible Video Reasoning in Unpredictable Events CVPR 2025

WebEvolver: Enhancing Web Agent Self-Improvement with Co-evolving World Model EMNLP 2025

Investigating Motivated Inference in Large Language Models EMNLP 2025

DecisionFlow: Advancing Large Language Model as Principled Decision Maker EMNLP 2025

IP-Dialog: Evaluating Implicit Personalization in Dialogue Systems with Synthetic Data EMNLP 2025

MEXA: Towards General Multimodal Reasoning with Dynamic Multi-Expert Aggregation EMNLP 2025

Fuzzy Reasoning Chain (FRC): An Innovative Reasoning Framework from Fuzziness to Clarity EMNLP 2025

SGCD: Subtask-Guided Causal-Debiasing Framework for Robust Cross-Utterance Sentiment Quadruple Extraction in Dialogues EMNLP 2025

Stress-Testing the Reasoning Competence of Language Models With Formal Proofs EMNLP 2025

Idola Tribus of AI: Large Language Models tend to perceive order where none exists EMNLP 2025

Don’t Take the Premise for Granted: Evaluating the Premise Critique Ability of Large Language Models EMNLP 2025

DivLogicEval: A Framework for Benchmarking Logical Reasoning Evaluation in Large Language Models EMNLP 2025