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

996 papers, page 18 of 20

851. ICLR 2025VOILA: Evaluation of MLLMs For Perceptual Understanding and Analogical Reasoning
852. ICLR 2025Walk the Talk? Measuring the Faithfulness of Large Language Model Explanations
853. ICLR 2025What Makes a Maze Look Like a Maze?
854. ICLR 2025What Makes Large Language Models Reason in (Multi-Turn) Code Generation?
855. ICLR 2025When does compositional structure yield compositional generalization? A kernel theory.
856. ICLR 2024Abstractors and relational cross-attention: An inductive bias for explicit relational reasoning in Transformers
857. ICLR 2024Active Test-Time Adaptation: Theoretical Analyses and An Algorithm
858. ICLR 2024AgentBench: Evaluating LLMs as Agents
859. ICLR 2024Amortizing intractable inference in large language models
860. ICLR 2024Are Human-generated Demonstrations Necessary for In-context Learning?
861. ICLR 2024At Which Training Stage Does Code Data Help LLMs Reasoning?
862. ICLR 2024BadChain: Backdoor Chain-of-Thought Prompting for Large Language Models
863. ICLR 2024Bias Runs Deep: Implicit Reasoning Biases in Persona-Assigned LLMs
864. ICLR 2024Bongard-OpenWorld: Few-Shot Reasoning for Free-form Visual Concepts in the Real World
865. ICLR 2024Boosting of Thoughts: Trial-and-Error Problem Solving with Large Language Models
866. ICLR 2024Can Large Language Models Infer Causation from Correlation?
867. ICLR 2024Causal Modelling Agents: Causal Graph Discovery through Synergising Metadata- and Data-driven Reasoning
868. ICLR 2024Chain-of-Knowledge: Grounding Large Language Models via Dynamic Knowledge Adapting over Heterogeneous Sources
869. ICLR 2024Chain-of-Table: Evolving Tables in the Reasoning Chain for Table Understanding
870. ICLR 2024CodeChain: Towards Modular Code Generation Through Chain of Self-revisions with Representative Sub-modules
871. ICLR 2024COLEP: Certifiably Robust Learning-Reasoning Conformal Prediction via Probabilistic Circuits
872. ICLR 2024CompA: Addressing the Gap in Compositional Reasoning in Audio-Language Models
873. ICLR 2024Continual Momentum Filtering on Parameter Space for Online Test-time Adaptation
874. ICLR 2024CRAFT: Customizing LLMs by Creating and Retrieving from Specialized Toolsets
875. ICLR 2024Don't Trust: Verify -- Grounding LLM Quantitative Reasoning with Autoformalization
876. ICLR 2024DQ-LoRe: Dual Queries with Low Rank Approximation Re-ranking for In-Context Learning
877. ICLR 2024DSPy: Compiling Declarative Language Model Calls into State-of-the-Art Pipelines
878. ICLR 2024DyVal: Dynamic Evaluation of Large Language Models for Reasoning Tasks
879. ICLR 2024Entropy is not Enough for Test-Time Adaptation: From the Perspective of Disentangled Factors
880. ICLR 2024Escape Sky-high Cost: Early-stopping Self-Consistency for Multi-step Reasoning
881. ICLR 2024GENOME: Generative Neuro-Symbolic Visual Reasoning by Growing and Reusing Modules
882. ICLR 2024Hypothesis Search: Inductive Reasoning with Language Models
883. ICLR 2024I-PHYRE: Interactive Physical Reasoning
884. ICLR 2024LaneSegNet: Map Learning with Lane Segment Perception for Autonomous Driving
885. ICLR 2024Large Language Model Cascades with Mixture of Thought Representations for Cost-Efficient Reasoning
886. ICLR 2024Large Language Models as Analogical Reasoners
887. ICLR 2024Large Language Models Cannot Self-Correct Reasoning Yet
888. ICLR 2024Learning Performance-Improving Code Edits
889. ICLR 2024Lemur: Harmonizing Natural Language and Code for Language Agents
890. ICLR 2024Less is More: One-shot Subgraph Reasoning on Large-scale Knowledge Graphs
891. ICLR 2024Let's Verify Step by Step
892. ICLR 2024LLCP: Learning Latent Causal Processes for Reasoning-based Video Question Answer
893. ICLR 2024Llemma: An Open Language Model for Mathematics
894. ICLR 2024Look, Remember and Reason: Grounded Reasoning in Videos with Language Models
895. ICLR 2024Magnushammer: A Transformer-Based Approach to Premise Selection
896. ICLR 2024MAmmoTH: Building Math Generalist Models through Hybrid Instruction Tuning
897. ICLR 2024MathVista: Evaluating Mathematical Reasoning of Foundation Models in Visual Contexts
898. ICLR 2024MetaMath: Bootstrap Your Own Mathematical Questions for Large Language Models
899. ICLR 2024MuSR: Testing the Limits of Chain-of-thought with Multistep Soft Reasoning
900. ICLR 2024MUSTARD: Mastering Uniform Synthesis of Theorem and Proof Data

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.