A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search | Paper Citation Record

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This paper cites Scaling Laws for Neural Language Models.

A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search Scaling Laws for Neural Language Models

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A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search Training Compute-Optimal Large Language Models

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A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search Compute-Optimal LLMs Provably Generalize Better With Scale

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This paper cites Training compute of frontier AI models grows by 4-5x per year,.

A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search Training compute of frontier AI models grows by 4-5x per year,

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This paper cites Increased Compute Efficiency and the Diffusion of AI Capabilities.

A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search Increased Compute Efficiency and the Diffusion of AI Capabilities

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This paper cites Measuring the Algorithmic Efficiency of Neural Networks.

A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search Measuring the Algorithmic Efficiency of Neural Networks

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A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search Algorithmic progress in language models

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A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search Claude’s extended thinking,

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This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

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This paper cites Gemini 2.5: Our most intelligent AI model,.

A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search Gemini 2.5: Our most intelligent AI model,

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This paper cites IBM Granite 3.2: Reasoning, vision, forecasting and more,.

A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search IBM Granite 3.2: Reasoning, vision, forecasting and more,

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This paper cites Phi-4-reasoning Technical Report.

A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search Phi-4-reasoning Technical Report

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A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search OpenAI o1 System Card,

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This paper cites Introducing OpenAI o3 and o4-mini,.

A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search Introducing OpenAI o3 and o4-mini,

Reference 14

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This paper cites Grok 3 Beta — The Age of Reasoning Agents,.

A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search Grok 3 Beta — The Age of Reasoning Agents,

Reference 15

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This paper cites The growing energy footprint of artificial intelligence,.

A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search The growing energy footprint of artificial intelligence,

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This paper cites Estimating the carbon footprint of BLOOM, a 176B parameter language model,.

A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search Estimating the carbon footprint of BLOOM, a 176B parameter language model,

Reference 17

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This paper cites The Carbon Footprint of Machine Learning Training Will Plateau, Then Shrink.

A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search The Carbon Footprint of Machine Learning Training Will Plateau, Then Shrink

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This paper cites Sustainable AI: Environmental implications, challenges and opportunities,.

A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search Sustainable AI: Environmental implications, challenges and opportunities,

Reference 19

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A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search The next wave of AI: Demand and adoption,

Reference 20

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This paper cites From Efficiency Gains to Rebound Effects: The Problem of Jevons' Paradox in AI's Polarized Environmental Debate.

A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search From Efficiency Gains to Rebound Effects: The Problem of Jevons' Paradox in AI's Polarized Environmental Debate

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A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search Unresolved cited work

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This paper cites 1B user messages sent on ChatGPT every day,.

A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search 1B user messages sent on ChatGPT every day,

Reference 23

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This paper cites ChatGPT added one million users in the last hour,.

A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search ChatGPT added one million users in the last hour,

Reference 24

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This paper cites ChatGPT statistics and user trends (2025),.

A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search ChatGPT statistics and user trends (2025),

Reference 25

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A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search A systematic review of Green AI,

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A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search Deep Blue,

Reference 27

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A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search Mastering the game of Go with deep neural networks and tree search,

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A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search Mastering the game of Go without human knowledge,

Reference 29

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A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm

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A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search Scaling Scaling Laws with Board Games

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A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search Safe and Nested Subgame Solving for Imperfect-Information Games

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A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search Human-level play in the game of Diplomacy by combining language models with strategic reasoning,

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A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search Emergent Abilities of Large Language Models

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A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search An information theory of compute-optimal size scaling, emergence, and plateaus in language models,

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A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search Multi-task Language Understanding on MMLU Leaderboard,

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A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search Measuring massive multitask language understanding,

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A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search Are emergent abilities of large language models a mirage?

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A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search The quantization model of neural scaling,

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A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search Circuit tracing: Revealing computational graphs in language models,

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A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search Curriculum learning,

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A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search A Theory for Emergence of Complex Skills in Language Models

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A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search A mathematical theory for learning semantic languages by abstract learners,

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This paper cites Skill-Mix: a flexible and expandable family of evaluations for AI models,.

A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search Skill-Mix: a flexible and expandable family of evaluations for AI models,

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A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search The learning curve: implications of a quantitative analysis,

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A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search A first-principles mathematical model integrates the disparate timescales of human learning,

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A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search Spin-glass models as error-correcting codes,

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A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search Newell,Unified Theories of Cognition

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A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search Barab ´asi,Network Science

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A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search Learning curves: Asymptotic values and rate of convergence,

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A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search Deep Learning Scaling is Predictable, Empirically

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A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search A Constructive Prediction of the Generalization Error Across Scales

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A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search Language Models are Few-Shot Learners

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Reference 55

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This paper cites Explaining neural scaling laws,.

A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search Explaining neural scaling laws,

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This paper cites Towards a universal scaling law of LLM training and inference,.

A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search Towards a universal scaling law of LLM training and inference,

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This paper cites Densing Law of LLMs.

A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search Densing Law of LLMs

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This paper cites How predictable is language model benchmark performance?.

A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search How predictable is language model benchmark performance?

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This paper cites Observational Scaling Laws and the Predictability of Language Model Performance.

A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search Observational Scaling Laws and the Predictability of Language Model Performance

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Observation 7212905d-590a-4677-bc73-d486d3d50ec8 · outbound

This paper cites Language models scale reliably with over-training and on downstream tasks.

A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search Language models scale reliably with over-training and on downstream tasks

Reference 62

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A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search Broken Neural Scaling Laws

Reference 63

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A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search Scaling laws for downstream task performance in machine translation,

Reference 64

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This paper cites Exploring the Limits of Large Scale Pre-training.

A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search Exploring the Limits of Large Scale Pre-training

Reference 65

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This paper cites Scaling Laws Do Not Scale.

A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search Scaling Laws Do Not Scale

Reference 66

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This paper cites Not-just-scaling laws: Towards a better understanding of the downstream impact of language model design decisions,.

A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search Not-just-scaling laws: Towards a better understanding of the downstream impact of language model design decisions,

Reference 67

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This paper cites Same Pre-training Loss, Better Downstream: Implicit Bias Matters for Language Models.

A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search Same Pre-training Loss, Better Downstream: Implicit Bias Matters for Language Models

Reference 68

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This paper cites Overtrained Language Models Are Harder to Fine-Tune.

A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search Overtrained Language Models Are Harder to Fine-Tune

Reference 69

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This paper cites Rethinking fine-tuning when scaling test-time compute: Limiting confidence improves mathematical reasoning,.

A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search Rethinking fine-tuning when scaling test-time compute: Limiting confidence improves mathematical reasoning,

Reference 70

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This paper cites TruthfulQA: Measuring How Models Mimic Human Falsehoods.

A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search TruthfulQA: Measuring How Models Mimic Human Falsehoods

Reference 71

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This paper cites BBQ: A Hand-Built Bias Benchmark for Question Answering.

A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search BBQ: A Hand-Built Bias Benchmark for Question Answering

Reference 72

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This paper cites Inverse scaling can become U-shaped.

A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search Inverse scaling can become U-shaped

Reference 73

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This paper cites s1: Simple test-time scaling.

A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search s1: Simple test-time scaling

Reference 74

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This paper cites Reinforcement Learning for Reasoning in Large Language Models with One Training Example.

A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search Reinforcement Learning for Reasoning in Large Language Models with One Training Example

Reference 75

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This paper cites Large Language Models are Zero-Shot Reasoners.

A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search Large Language Models are Zero-Shot Reasoners

Reference 76

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This paper cites Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them.

A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them

Reference 77

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This paper cites Understanding Reasoning Ability of Language Models From the Perspective of Reasoning Paths Aggregation.

A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search Understanding Reasoning Ability of Language Models From the Perspective of Reasoning Paths Aggregation

Reference 78

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This paper cites Sequence to sequence learning with neural networks: What a decade,.

A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search Sequence to sequence learning with neural networks: What a decade,

Reference 79

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This paper cites AI doom from an LLM-plateau-ist perspective,.

A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search AI doom from an LLM-plateau-ist perspective,

Reference 80

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This paper cites The first wave of AI innovation is over. here’s what comes next,.

A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search The first wave of AI innovation is over. here’s what comes next,

Reference 81

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A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search AI won’t plateau — if we give it time to think,

Reference 82

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This paper cites Scaling data-constrained language models,.

A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search Scaling data-constrained language models,

Reference 83

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This paper cites Scaling Laws for Data Filtering -- Data Curation cannot be Compute Agnostic.

A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search Scaling Laws for Data Filtering -- Data Curation cannot be Compute Agnostic

Reference 84

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A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search The rising costs of training frontier AI models

Reference 85

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This paper cites Language Models Don't Always Say What They Think: Unfaithful Explanations in Chain-of-Thought Prompting.

A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search Language Models Don't Always Say What They Think: Unfaithful Explanations in Chain-of-Thought Prompting

Reference 86

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This paper cites Language Models Are Greedy Reasoners: A Systematic Formal Analysis of Chain-of-Thought.

A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search Language Models Are Greedy Reasoners: A Systematic Formal Analysis of Chain-of-Thought

Reference 87

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This paper cites Efficient Streaming Language Models with Attention Sinks.

A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search Efficient Streaming Language Models with Attention Sinks

Reference 88

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A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search Don't Take Things Out of Context: Attention Intervention for Enhancing Chain-of-Thought Reasoning in Large Language Models

Reference 89

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A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search The curse of CoT: On the limitations of chain-of-thought in in-context learning,

Reference 90

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A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search When More is Less: Understanding Chain-of-Thought Length in LLMs

Reference 91

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A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search Let's Verify Step by Step

Reference 92

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A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search Training Verifiers to Solve Math Word Problems

Reference 93

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A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search When to solve, when to verify: Compute-optimal problem solving and generative verification for LLM reasoning,

Reference 94

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A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 95

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A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search Solving quantitative reasoning problems with language models,

Reference 96

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This paper cites Self-Refine: Iterative Refinement with Self-Feedback.

A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search Self-Refine: Iterative Refinement with Self-Feedback

Reference 97

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A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search Cost-of-Pass: An economic framework for evaluating language models,

Reference 98

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A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search Scaling Laws for Transfer

Reference 99

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A Theory of Inference Compute Scaling: Reasoning through Directed Stochastic Skill Search Reproducible scaling laws for contrastive language-image learning,

Reference 100

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