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

3,512 papers, page 59 of 71

2901. ICML 2024Profile Reconstruction from Private Sketches
2902. ICML 2024Prompt Sketching for Large Language Models
2903. ICML 2024Promptbreeder: Self-Referential Self-Improvement via Prompt Evolution
2904. ICML 2024Reprompting: Automated Chain-of-Thought Prompt Inference Through Gibbs Sampling
2905. ICML 2024Slot Abstractors: Toward Scalable Abstract Visual Reasoning
2906. ICML 2024Sparsest Models Elude Pruning: An Exposé of Pruning’s Current Capabilities
2907. ICML 2024StackSight: Unveiling WebAssembly through Large Language Models and Neurosymbolic Chain-of-Thought Decompilation
2908. ICML 2024Stationary Latent Weight Inference for Unreliable Observations from Online Test-Time Adaptation
2909. ICML 2024Stay on Topic with Classifier-Free Guidance
2910. ICML 2024STEER: Assessing the Economic Rationality of Large Language Models
2911. ICML 2024Stochastic Gradient Flow Dynamics of Test Risk and its Exact Solution for Weak Features
2912. ICML 2024Structured Chemistry Reasoning with Large Language Models
2913. ICML 2024Temporal Spiking Neural Networks with Synaptic Delay for Graph Reasoning
2914. ICML 2024Test-Time Model Adaptation with Only Forward Passes
2915. ICML 2024Toward Adaptive Reasoning in Large Language Models with Thought Rollback
2916. ICML 2024Towards an Understanding of Stepwise Inference in Transformers: A Synthetic Graph Navigation Model
2917. ICML 2024Transformers Provably Learn Sparse Token Selection While Fully-Connected Nets Cannot
2918. ICML 2024Understanding Reasoning Ability of Language Models From the Perspective of Reasoning Paths Aggregation
2919. ICML 2024Use Your INSTINCT: INSTruction optimization for LLMs usIng Neural bandits Coupled with Transformers
2920. ICML 2024Video-of-Thought: Step-by-Step Video Reasoning from Perception to Cognition
2921. ICML 2024What Can Transformer Learn with Varying Depth? Case Studies on Sequence Learning Tasks
2922. NeurIPS 2024A Benchmark Suite for Systematically Evaluating Reasoning Shortcuts
2923. NeurIPS 2024A Careful Examination of Large Language Model Performance on Grade School Arithmetic
2924. NeurIPS 2024A Hitchhiker's Guide to Fine-Grained Face Forgery Detection Using Common Sense Reasoning
2925. NeurIPS 2024A Neuro-Symbolic Benchmark Suite for Concept Quality and Reasoning Shortcuts
2926. NeurIPS 2024A Prompt-Based Knowledge Graph Foundation Model for Universal In-Context Reasoning
2927. NeurIPS 2024Are Large Language Models Good Statisticians?
2928. NeurIPS 2024AutoPSV: Automated Process-Supervised Verifier
2929. NeurIPS 2024BECAUSE: Bilinear Causal Representation for Generalizable Offline Model-based Reinforcement Learning
2930. NeurIPS 2024Beyond the Doors of Perception: Vision Transformers Represent Relations Between Objects
2931. NeurIPS 2024Buffer of Thoughts: Thought-Augmented Reasoning with Large Language Models
2932. NeurIPS 2024Calibrating Reasoning in Language Models with Internal Consistency
2933. NeurIPS 2024Can Language Models Learn to Skip Steps?
2934. NeurIPS 2024Can Language Models Perform Robust Reasoning in Chain-of-thought Prompting with Noisy Rationales?
2935. NeurIPS 2024Can Large Language Models Analyze Graphs like Professionals? A Benchmark, Datasets and Models
2936. NeurIPS 2024Can large language models explore in-context?
2937. NeurIPS 2024Causal language modeling can elicit search and reasoning capabilities on logic puzzles
2938. NeurIPS 2024CausalChaos! Dataset for Comprehensive Causal Action Question Answering Over Longer Causal Chains Grounded in Dynamic Visual Scenes
2939. NeurIPS 2024Chain of Preference Optimization: Improving Chain-of-Thought Reasoning in LLMs
2940. NeurIPS 2024Chain of Thoughtlessness? An Analysis of CoT in Planning
2941. NeurIPS 2024Chain-of-Thought Reasoning Without Prompting
2942. NeurIPS 2024Chain-of-Thought Unfaithfulness as Disguised Accuracy
2943. NeurIPS 2024Co-occurrence is not Factual Association in Language Models
2944. NeurIPS 2024COLD: Causal reasOning in cLosed Daily activities
2945. NeurIPS 2024ConMe: Rethinking Evaluation of Compositional Reasoning for Modern VLMs
2946. NeurIPS 2024Connecting the Dots: LLMs can Infer and Verbalize Latent Structure from Disparate Training Data
2947. NeurIPS 2024Cracking the Code of Juxtaposition: Can AI Models Understand the Humorous Contradictions
2948. NeurIPS 2024DART-Math: Difficulty-Aware Rejection Tuning for Mathematical Problem-Solving
2949. NeurIPS 2024Decision-Making Behavior Evaluation Framework for LLMs under Uncertain Context
2950. NeurIPS 2024Decompose, Analyze and Rethink: Solving Intricate Problems with Human-like Reasoning Cycle

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.