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 20 of 71

951. ICML 2026Contrastive Reasoning Alignment: Reinforcement Learning from Hidden Representations
952. ICML 2026ConvexBench: Can LLMs Recognize Convex Functions?
953. ICML 2026CoRe: Collaborative Reasoning via Cross Teaching
954. ICML 2026Correcting in Hindsight: Editing Past Key-Value States for Robust LLM Reasoning
955. ICML 2026CoT is Not the Chain of Truth: An Empirical Internal Analysis of Reasoning LLMs for Fake News Generation
956. ICML 2026Counterfactual Residual Data Augmentation for Regression
957. ICML 2026Coupled Variational Reinforcement Learning for Language Model General Reasoning
958. ICML 2026CPMöbius: Iterative Coach–Player Reasoning for Data-Free Reinforcement Learning
959. ICML 2026Critique-Guided Distillation for Robust Reasoning via Refinement
960. ICML 2026CyberJurors: A Multi-Agent Simulation Task for E-Commerce Disputes Verdict
961. ICML 2026D-CORE: Incentivizing Task Decomposition in Large Reasoning Models for Complex Tool Use
962. ICML 2026D-FUSEr: Diverse Failure, Unified Success via Error-Distribution Shaping in LLM Reasoning
963. ICML 2026D²Evo: Dual Difficulty-Aware Self-Evolution for Data-Efficient Reinforcement Learning
964. ICML 2026Data Provenance Auditing of Fine-Tuned Large Language Models with a Text-Preserving Technique
965. ICML 2026DC-W2S: Dual-Consensus Weak-to-Strong Training for Reliable Process Reward Modeling in Biological Reasoning
966. ICML 2026DecepChain: Inducing Deceptive Reasoning in Large Language Models
967. ICML 2026Decompose and Recompose: Reasoning New Skills from Existing Abilities for Cross-Task Robotic Manipulation
968. ICML 2026Decomposed On-Policy Distillation for Vision-Language Reasoning: Steering Gradients for Visual Grounding
969. ICML 2026Deep Scientific Reasoning under Physical Constraints: Structure-Aware Spectrum Prediction
970. ICML 2026Demystifying Scientific Problem-Solving in LLMs by Probing Knowledge and Reasoning
971. ICML 2026DenseSteer: Steering Small Language Models towards Dense Math Reasoning
972. ICML 2026Depth-Breadth Synergy in RLVR: Unlocking LLM Reasoning Gains with Adaptive Exploration
973. ICML 2026Differential Smoothing Mitigates Sharpening and Improves LLM Reasoning
974. ICML 2026Directly Optimizing Natural Language Explanations for Behavioral Faithfulness: Simulatability and Recoverability
975. ICML 2026Discrete Adjoint Schrödinger Bridge Sampler
976. ICML 2026Discrete Diffusion with Physical Mass Constraints for \emph{De Novo} Peptide Sequencing
977. ICML 2026Discriminative Visual Process Rewards for Scaling Thinking at Test-Time with Images
978. ICML 2026DisPPO: Quantile-Based Distributional Reinforcement Learning for Large Language Models
979. ICML 2026Distilling Neuro-Symbolic Programs into 3D Multi-modal LLMs
980. ICML 2026Distilling Task-Level Coordination Policies for Generalizable Multi-Agent Cooperation
981. ICML 2026Diversity Matters: Revisiting Test-Time Compute in Vision-Language Models
982. ICML 2026Diversity Over Frequency: Rethinking Tool Use in Visual Chain-of-Thought Agents
983. ICML 2026Do LLMs Signal When They’re Right? Evidence from Neuron Agreement
984. ICML 2026Do Sparse Autoencoders Identify Reasoning Features in Language Models?
985. ICML 2026Do Vision and Text Cues Exhibit Evidential Coupling? UFO: A Benchmark for Compositional Multimodal Reasoning in Unified Models
986. ICML 2026DocHop: Benchmarking Out-of-domain Multi-hop Reasoning in Information-Dense Documents
987. ICML 2026DocVAL: Validated Chain-of-Thought Distillation for Grounded Document VQA
988. ICML 2026Does Math Reasoning Improve General LLM Capabilities? Understanding Transferability of LLM Reasoning
989. ICML 2026Does Reasoning Improve Seeing? Understanding When Vision-Language Models Benefit from Thinking
990. ICML 2026Does Your Reasoning Model Implicitly Know When to Stop Thinking?
991. ICML 2026Don't Force the Fit: Bounded Log-Likelihood Loss for Enhanced Reasoning in Large Language Models
992. ICML 2026Don't Ignore the Tail: Decoupled Distillation Produces Top Maths Students on an Academic Budget
993. ICML 2026DREAM-R: Multimodal Speculative Reasoning with RL-Based Refined Drafting, Precise Verification, and Fully Parallel Execution
994. ICML 2026DRIVE: Best Data Scheduling Practices for Reinforcement Learning with Verifiable Reward in Competitive Code Generation
995. ICML 2026DTS: Enhancing Large Reasoning Models via Decoding Tree Sketching
996. ICML 2026Dual-Latent Memory Routing for Vision-Language Reasoning
997. ICML 2026DyCon: Dynamic Reasoning Control via Evolving Difficulty Modeling
998. ICML 2026Dynamic Thinking-Token Selection for Efficient Reasoning in Large Reasoning Models
999. ICML 2026Dynamics Reveals Structure: Challenging the Linear Propagation Assumption
1000. ICML 2026Dynamics Within Latent Chain-of-Thought: An Empirical Study of Causal Structure

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.