Reasoning Models papers, 2023–2026

Key findings

• Reasoning Models went from 470 papers in 2023 to 1,799 in 2026, roughly 3.8x in three years.
• NeurIPS publishes the most Reasoning Models work: 1,253 papers from 2023 to 2026, 36% of the four-venue total.
• The fastest-growing overlap is with Reinforcement Learning: papers tagged with both rose from 9 in 2023 to 437 in 2026.
• Among the 4 topics under Trending Systems, it ranks #3 by 2026 paper count; the fastest grower in the group, AI Agents, is up 12x versus 3.8x here.

Representative papers

Spread across years and venues so every edition shows up

• NeurIPS 2026A Mechanistic Analysis of Looped Reasoning Language Models
• ICML 2026A Formal Comparison Between Chain of Thought and Latent Thought
• ICLR 2026A Simple "Motivation" Can Enhance Reinforcement Finetuning of Large Reasoning Models
• CVPR 2026Asking like Socrates Socrates helps VLMs understand remote sensing images
• NeurIPS 2025A Frustratingly Simple Yet Highly Effective Attack Baseline: Over 90% Success Rate Against the Strong Black-box Models of GPT-4.5/4o/o1
• ICML 2025A Reasoning-Based Approach to Cryptic Crossword Clue Solving
• ICLR 2025A Formal Framework for Understanding Length Generalization in Transformers
• CVPR 2025Argus: Vision-Centric Reasoning with Grounded Chain-of-Thought
• NeurIPS 2024Are Large Language Models Good Statisticians?
• ICML 2024Algorithm of Thoughts: Enhancing Exploration of Ideas in Large Language Models
• ICLR 2024Amortizing intractable inference in large language models
• CVPR 2024Generate Subgoal Images before Act: Unlocking the Chain-of-Thought Reasoning in Diffusion Model for Robot Manipulation with Multimodal Prompts
• NeurIPS 2023A benchmark of categorical encoders for binary classification
• ICML 2023Can We Scale Transformers to Predict Parameters of Diverse ImageNet Models?
• ICLR 2023Automatic Chain of Thought Prompting in Large Language Models
• CVPR 2023ActMAD: Activation Matching To Align Distributions for Test-Time-Training
• NeurIPS 2026A Solvable Model of Chain-of-Thought in In-Context Learning
• ICML 2026A Narrowing Geometry in Contaminated Reasoning
• ICLR 2026A State-Transition Framework for Efficient LLM Reasoning
• CVPR 2026Beyond Weak Supervision MLLMs-Guided Graded Knowledge Distillation for Unsupervised Camouflaged

All Reasoning Models papers

1,253 papers, page 18 of 26

851. NeurIPS 2025Walking the Tightrope: Autonomous Disentangling Beneficial and Detrimental Drifts in Non-Stationary Custom-Tuning
852. NeurIPS 2025Weaver: Shrinking the Generation-Verification Gap by Scaling Compute for Verification
853. NeurIPS 2025WebThinker: Empowering Large Reasoning Models with Deep Research Capability
854. NeurIPS 2025What’s in Common? Multimodal Models Hallucinate When Reasoning Across Scenes
855. NeurIPS 2025When Less Language is More: Language-Reasoning Disentanglement Makes LLMs Better Multilingual Reasoners
856. NeurIPS 2025When No Paths Lead to Rome: Benchmarking Systematic Neural Relational Reasoning
857. NeurIPS 2025When Thinking Drifts: Evidential Grounding for Robust Video Reasoning
858. NeurIPS 2025When Thinking Fails: The Pitfalls of Reasoning for Instruction-Following in LLMs
859. NeurIPS 2025Which Data Attributes Stimulate Math and Code Reasoning? An Investigation via Influence Functions
860. NeurIPS 2025Who Reasons in the Large Language Models?
861. NeurIPS 2025Wider or Deeper? Scaling LLM Inference-Time Compute with Adaptive Branching Tree Search
862. NeurIPS 2024A Benchmark Suite for Systematically Evaluating Reasoning Shortcuts
863. NeurIPS 2024A Careful Examination of Large Language Model Performance on Grade School Arithmetic
864. NeurIPS 2024A Hitchhiker's Guide to Fine-Grained Face Forgery Detection Using Common Sense Reasoning
865. NeurIPS 2024A Neuro-Symbolic Benchmark Suite for Concept Quality and Reasoning Shortcuts
866. NeurIPS 2024A Prompt-Based Knowledge Graph Foundation Model for Universal In-Context Reasoning
867. NeurIPS 2024Are Large Language Models Good Statisticians?
868. NeurIPS 2024AutoPSV: Automated Process-Supervised Verifier
869. NeurIPS 2024BECAUSE: Bilinear Causal Representation for Generalizable Offline Model-based Reinforcement Learning
870. NeurIPS 2024Beyond the Doors of Perception: Vision Transformers Represent Relations Between Objects
871. NeurIPS 2024Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models
872. NeurIPS 2024Calibrating Reasoning in Language Models with Internal Consistency
873. NeurIPS 2024Can Language Models Learn to Skip Steps?
874. NeurIPS 2024Can Language Models Perform Robust Reasoning in Chain-of-thought Prompting with Noisy Rationales?
875. NeurIPS 2024Can Large Language Models Analyze Graphs like Professionals? A Benchmark, Datasets and Models
876. NeurIPS 2024Can large language models explore in-context?
877. NeurIPS 2024Causal language modeling can elicit search and reasoning capabilities on logic puzzles
878. NeurIPS 2024CausalChaos! Dataset for Comprehensive Causal Action Question Answering Over Longer Causal Chains Grounded in Dynamic Visual Scenes
879. NeurIPS 2024Chain of Preference Optimization: Improving Chain-of-Thought Reasoning in LLMs
880. NeurIPS 2024Chain of Thoughtlessness? An Analysis of CoT in Planning
881. NeurIPS 2024Chain-of-Thought Reasoning Without Prompting
882. NeurIPS 2024Chain-of-Thought Unfaithfulness as Disguised Accuracy
883. NeurIPS 2024Co-occurrence is not Factual Association in Language Models
884. NeurIPS 2024COLD: Causal reasOning in cLosed Daily activities
885. NeurIPS 2024ConMe: Rethinking Evaluation of Compositional Reasoning for Modern VLMs
886. NeurIPS 2024Connecting the Dots: LLMs can Infer and Verbalize Latent Structure from Disparate Training Data
887. NeurIPS 2024Cracking the Code of Juxtaposition: Can AI Models Understand the Humorous Contradictions
888. NeurIPS 2024DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving
889. NeurIPS 2024Decision-Making Behavior Evaluation Framework for LLMs under Uncertain Context
890. NeurIPS 2024Decompose, Analyze and Rethink: Solving Intricate Problems with Human-like Reasoning Cycle
891. NeurIPS 2024Deep Equilibrium Algorithmic Reasoning
892. NeurIPS 2024DeiSAM: Segment Anything with Deictic Prompting
893. NeurIPS 2024Detecting Bugs with Substantial Monetary Consequences by LLM and Rule-based Reasoning
894. NeurIPS 2024Diffusion of Thought: Chain-of-Thought Reasoning in Diffusion Language Models
895. NeurIPS 2024DiReCT: Diagnostic Reasoning for Clinical Notes via Large Language Models
896. NeurIPS 2024Divide-and-Conquer Meets Consensus: Unleashing the Power of Functions in Code Generation
897. NeurIPS 2024Does Reasoning Emerge? Examining the Probabilities of Causation in Large Language Models
898. NeurIPS 2024Embedding Trajectory for Out-of-Distribution Detection in Mathematical Reasoning
899. NeurIPS 2024Emotion-LLaMA: Multimodal Emotion Recognition and Reasoning with Instruction Tuning
900. NeurIPS 2024Enhancing LLM Reasoning via Vision-Augmented Prompting

FAQ

How many Reasoning Models papers were published at NeurIPS, ICLR, ICML and CVPR from 2023 to 2026?

3,512 in total: 470 in 2023, 311 in 2024, 932 in 2025, 1,799 in 2026.

How many Reasoning Models papers are at NeurIPS 2026?

NeurIPS 2026 has 361 Reasoning Models papers, versus 500 the year before.

How many Reasoning Models papers are at ICLR 2026?

ICLR 2026 has 652 Reasoning Models papers, versus 203 the year before.

How many Reasoning Models papers are at ICML 2026?

ICML 2026 has 582 Reasoning Models papers, versus 159 the year before.

How many Reasoning Models papers are at CVPR 2026?

CVPR 2026 has 204 Reasoning Models papers, versus 70 the year before.

Which conference publishes the most Reasoning Models papers?

NeurIPS, with 1,253 papers from 2023 to 2026.