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 19 of 20

901. ICLR 2024Neural Language of Thought Models
902. ICLR 2024On the generalization capacity of neural networks during generic multimodal reasoning
903. ICLR 2024On the Markov Property of Neural Algorithmic Reasoning: Analyses and Methods
904. ICLR 2024On the Power of the Weisfeiler-Leman Test for Graph Motif Parameters
905. ICLR 2024On the Variance of Neural Network Training with respect to Test Sets and Distributions
906. ICLR 2024Online GNN Evaluation Under Test-time Graph Distribution Shifts
907. ICLR 2024OpenTab: Advancing Large Language Models as Open-domain Table Reasoners
908. ICLR 2024OpenWebMath: An Open Dataset of High-Quality Mathematical Web Text
909. ICLR 2024Phenomenal Yet Puzzling: Testing Inductive Reasoning Capabilities of Language Models with Hypothesis Refinement
910. ICLR 2024PROGRAM: PROtotype GRAph Model based Pseudo-Label Learning for Test-Time Adaptation
911. ICLR 2024Reasoning on Graphs: Faithful and Interpretable Large Language Model Reasoning
912. ICLR 2024REFACTOR: Learning to Extract Theorems from Proofs
913. ICLR 2024Rephrase, Augment, Reason: Visual Grounding of Questions for Vision-Language Models
914. ICLR 2024SaNN: Simple Yet Powerful Simplicial-aware Neural Networks
915. ICLR 2024SCHEMA: State CHangEs MAtter for Procedure Planning in Instructional Videos
916. ICLR 2024Self-contradictory Hallucinations of Large Language Models: Evaluation, Detection and Mitigation
917. ICLR 2024SelfCheck: Using LLMs to Zero-Shot Check Their Own Step-by-Step Reasoning
918. ICLR 2024Solving Challenging Math Word Problems Using GPT-4 Code Interpreter with Code-based Self-Verification
919. ICLR 2024Spoken Question Answering and Speech Continuation Using Spectrogram-Powered LLM
920. ICLR 2024Take a Step Back: Evoking Reasoning via Abstraction in Large Language Models
921. ICLR 2024Teaching Arithmetic to Small Transformers
922. ICLR 2024Test-time Adaptation against Multi-modal Reliability Bias
923. ICLR 2024Test-Time Training on Nearest Neighbors for Large Language Models
924. ICLR 2024TEST: Text Prototype Aligned Embedding to Activate LLM's Ability for Time Series
925. ICLR 2024The Expressive Power of Transformers with Chain of Thought
926. ICLR 2024The Truth is in There: Improving Reasoning in Language Models with Layer-Selective Rank Reduction
927. ICLR 2024Think-on-Graph: Deep and Responsible Reasoning of Large Language Model on Knowledge Graph
928. ICLR 2024THOUGHT PROPAGATION: AN ANALOGICAL APPROACH TO COMPLEX REASONING WITH LARGE LANGUAGE MODELS
929. ICLR 2024TopoMLP: A Simple yet Strong Pipeline for Driving Topology Reasoning
930. ICLR 2024ToRA: A Tool-Integrated Reasoning Agent for Mathematical Problem Solving
931. ICLR 2024Towards Foundation Models for Knowledge Graph Reasoning
932. ICLR 2024Towards Generative Abstract Reasoning: Completing Raven’s Progressive Matrix via Rule Abstraction and Selection
933. ICLR 2024Towards Robust Multi-Modal Reasoning via Model Selection
934. ICLR 2024Un-Mixing Test-Time Normalization Statistics: Combatting Label Temporal Correlation
935. ICLR 2024Understanding Expressivity of GNN in Rule Learning
936. ICLR 2024ViDA: Homeostatic Visual Domain Adapter for Continual Test Time Adaptation
937. ICLR 2024Video Decomposition Prior: Editing Videos Layer by Layer
938. ICLR 2024What Algorithms can Transformers Learn? A Study in Length Generalization
939. ICLR 2024When can transformers reason with abstract symbols?
940. ICLR 2023A Learning Based Hypothesis Test for Harmful Covariate Shift
941. ICLR 2023A Minimalist Dataset for Systematic Generalization of Perception, Syntax, and Semantics
942. ICLR 2023Automatic Chain of Thought Prompting in Large Language Models
943. ICLR 2023Can Neural Networks Learn Implicit Logic from Physical Reasoning?
944. ICLR 2023Can We Faithfully Represent Absence States to Compute Shapley Values on a DNN?
945. ICLR 2023Causal Reasoning in the Presence of Latent Confounders via Neural ADMG Learning
946. ICLR 2023Combinatorial-Probabilistic Trade-Off: P-Values of Community Properties Test in the Stochastic Block Models
947. ICLR 2023Complexity-Based Prompting for Multi-step Reasoning
948. ICLR 2023Decomposed Prompting: A Modular Approach for Solving Complex Tasks
949. ICLR 2023DELTA: DEGRADATION-FREE FULLY TEST-TIME ADAPTATION
950. ICLR 2023Dual Algorithmic Reasoning

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.