Thinking About Thinking: SAGE-nano's Inverse Reasoning for Self-Aware Language Models | Paper Citation Record

Observation dbc692e6-dc34-4d37-92b6-899daf8929c4 · outbound

This paper cites Tracing the thoughts of a large language model.

Thinking About Thinking: SAGE-nano's Inverse Reasoning for Self-Aware Language Models Tracing the thoughts of a large language model

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This paper cites Meta-Models: An Architecture for Decoding LLM Behaviors Through Interpreted Embeddings and Natural Language.

Thinking About Thinking: SAGE-nano's Inverse Reasoning for Self-Aware Language Models Meta-Models: An Architecture for Decoding LLM Behaviors Through Interpreted Embeddings and Natural Language

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This paper cites A Mechanistic Analysis of a Transformer Trained on a Symbolic Multi-Step Reasoning Task.

Thinking About Thinking: SAGE-nano's Inverse Reasoning for Self-Aware Language Models A Mechanistic Analysis of a Transformer Trained on a Symbolic Multi-Step Reasoning Task

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This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Thinking About Thinking: SAGE-nano's Inverse Reasoning for Self-Aware Language Models Llama 2: Open Foundation and Fine-Tuned Chat Models

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Thinking About Thinking: SAGE-nano's Inverse Reasoning for Self-Aware Language Models Unresolved cited work

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This paper cites Singh and others.

Thinking About Thinking: SAGE-nano's Inverse Reasoning for Self-Aware Language Models Singh and others

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Thinking About Thinking: SAGE-nano's Inverse Reasoning for Self-Aware Language Models Brown and others

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Thinking About Thinking: SAGE-nano's Inverse Reasoning for Self-Aware Language Models Unresolved cited work

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Thinking About Thinking: SAGE-nano's Inverse Reasoning for Self-Aware Language Models Jain and B

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Thinking About Thinking: SAGE-nano's Inverse Reasoning for Self-Aware Language Models Elhage and others

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Thinking About Thinking: SAGE-nano's Inverse Reasoning for Self-Aware Language Models Lightman and others

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This paper cites Singh and others.

Thinking About Thinking: SAGE-nano's Inverse Reasoning for Self-Aware Language Models Singh and others

Reference 12

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Thinking About Thinking: SAGE-nano's Inverse Reasoning for Self-Aware Language Models Meng and others

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Thinking About Thinking: SAGE-nano's Inverse Reasoning for Self-Aware Language Models Unresolved cited work

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This paper cites Chain-of-thought prompting elicits reasoning in large language models.

Thinking About Thinking: SAGE-nano's Inverse Reasoning for Self-Aware Language Models Chain-of-thought prompting elicits reasoning in large language models

Reference 15

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This paper cites A primer in BERTology: What we know about how BERT works.

Thinking About Thinking: SAGE-nano's Inverse Reasoning for Self-Aware Language Models A primer in BERTology: What we know about how BERT works

Reference 16

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Thinking About Thinking: SAGE-nano's Inverse Reasoning for Self-Aware Language Models What Does BERT Look At? An Analysis of BERT's Attention

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Thinking About Thinking: SAGE-nano's Inverse Reasoning for Self-Aware Language Models Large language models are zero-shot reasoners

Reference 18

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This paper cites Tree of thoughts: Deliberate problem solving with large language models.

Thinking About Thinking: SAGE-nano's Inverse Reasoning for Self-Aware Language Models Tree of thoughts: Deliberate problem solving with large language models

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This paper cites Neural Machine Translation by Jointly Learning to Align and Translate.

Thinking About Thinking: SAGE-nano's Inverse Reasoning for Self-Aware Language Models Neural Machine Translation by Jointly Learning to Align and Translate

Reference 21

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This paper cites Attention is all you need.

Thinking About Thinking: SAGE-nano's Inverse Reasoning for Self-Aware Language Models Attention is all you need

Reference 22

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This paper cites Attention is not not Explanation.

Thinking About Thinking: SAGE-nano's Inverse Reasoning for Self-Aware Language Models Attention is not not Explanation

Reference 23

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Thinking About Thinking: SAGE-nano's Inverse Reasoning for Self-Aware Language Models Zoom in: An introduction to circuits

Reference 24

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Thinking About Thinking: SAGE-nano's Inverse Reasoning for Self-Aware Language Models Network dissection: Quantifying interpretability of deep visual represen- tations

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This paper cites Causal Mediation Analysis for Interpreting Neural NLP: The Case of Gender Bias.

Thinking About Thinking: SAGE-nano's Inverse Reasoning for Self-Aware Language Models Causal Mediation Analysis for Interpreting Neural NLP: The Case of Gender Bias

Reference 26

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Thinking About Thinking: SAGE-nano's Inverse Reasoning for Self-Aware Language Models Building machines that learn and think like people

Reference 27

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Thinking About Thinking: SAGE-nano's Inverse Reasoning for Self-Aware Language Models Model-agnostic meta-learning for fast adaptation of deep networks

Reference 28

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Thinking About Thinking: SAGE-nano's Inverse Reasoning for Self-Aware Language Models Metacognition and cognitive monitoring: A new area of cognitive–developmental inquiry

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Thinking About Thinking: SAGE-nano's Inverse Reasoning for Self-Aware Language Models A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks

Reference 30

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Thinking About Thinking: SAGE-nano's Inverse Reasoning for Self-Aware Language Models Dropout as a bayesian approximation: Representing model uncertainty in deep learning

Reference 31

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Thinking About Thinking: SAGE-nano's Inverse Reasoning for Self-Aware Language Models Reflexion: Language agents with verbal reinforcement learning

Reference 32

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Thinking About Thinking: SAGE-nano's Inverse Reasoning for Self-Aware Language Models Program induction by rationale generation: Learning to solve and explain algebraic word problems

Reference 33

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Thinking About Thinking: SAGE-nano's Inverse Reasoning for Self-Aware Language Models Training Verifiers to Solve Math Word Problems

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Thinking About Thinking: SAGE-nano's Inverse Reasoning for Self-Aware Language Models Measuring Mathematical Problem Solving With the MATH Dataset

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Thinking About Thinking: SAGE-nano's Inverse Reasoning for Self-Aware Language Models LogiQA: A Challenge Dataset for Machine Reading Comprehension with Logical Reasoning

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Thinking About Thinking: SAGE-nano's Inverse Reasoning for Self-Aware Language Models ReClor: A Reading Comprehension Dataset Requiring Logical Reasoning

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Thinking About Thinking: SAGE-nano's Inverse Reasoning for Self-Aware Language Models ProofWriter: Generating Implications, Proofs, and Abductive Statements over Natural Language

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Thinking About Thinking: SAGE-nano's Inverse Reasoning for Self-Aware Language Models CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge

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Thinking About Thinking: SAGE-nano's Inverse Reasoning for Self-Aware Language Models Did aristotle use a laptop? a question answering benchmark with implicit reasoning strategies

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Thinking About Thinking: SAGE-nano's Inverse Reasoning for Self-Aware Language Models Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

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Thinking About Thinking: SAGE-nano's Inverse Reasoning for Self-Aware Language Models Aligning AI With Shared Human Values

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Thinking About Thinking: SAGE-nano's Inverse Reasoning for Self-Aware Language Models Moral Stories: Situated Reasoning about Norms, Intents, Actions, and their Consequences

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Thinking About Thinking: SAGE-nano's Inverse Reasoning for Self-Aware Language Models Why should i trust you? explaining the predictions of any classi- fier

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Thinking About Thinking: SAGE-nano's Inverse Reasoning for Self-Aware Language Models A unified approach to interpreting model predictions

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Thinking About Thinking: SAGE-nano's Inverse Reasoning for Self-Aware Language Models Measuring and Narrowing the Compositionality Gap in Language Models

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Thinking About Thinking: SAGE-nano's Inverse Reasoning for Self-Aware Language Models ReAct: Synergizing Reasoning and Acting in Language Models

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Thinking About Thinking: SAGE-nano's Inverse Reasoning for Self-Aware Language Models GPT-4 Technical Report

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Thinking About Thinking: SAGE-nano's Inverse Reasoning for Self-Aware Language Models Claude 3 model card

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Thinking About Thinking: SAGE-nano's Inverse Reasoning for Self-Aware Language Models Palm: Scaling language modeling with pathways

Reference 50

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Thinking About Thinking: SAGE-nano's Inverse Reasoning for Self-Aware Language Models Solving Math Word Problems via Cooperative Reasoning induced Language Models

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Thinking About Thinking: SAGE-nano's Inverse Reasoning for Self-Aware Language Models Self-Consistency Improves Chain of Thought Reasoning in Language Models

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Thinking About Thinking: SAGE-nano's Inverse Reasoning for Self-Aware Language Models Least-to-Most Prompting Enables Complex Reasoning in Large Language Models

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Thinking About Thinking: SAGE-nano's Inverse Reasoning for Self-Aware Language Models Progressive-Hint Prompting Improves Reasoning in Large Language Models

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Thinking About Thinking: SAGE-nano's Inverse Reasoning for Self-Aware Language Models Self-Refine: Iterative Refinement with Self-Feedback

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Thinking About Thinking: SAGE-nano's Inverse Reasoning for Self-Aware Language Models Tree of Clarifications: Answering Ambiguous Questions with Retrieval-Augmented Large Language Models

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Thinking About Thinking: SAGE-nano's Inverse Reasoning for Self-Aware Language Models Chain-of-Verification Reduces Hallucination in Large Language Models

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Thinking About Thinking: SAGE-nano's Inverse Reasoning for Self-Aware Language Models Beyond Chain-of-Thought, Effective Graph-of-Thought Reasoning in Language Models

Reference 58

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Thinking About Thinking: SAGE-nano's Inverse Reasoning for Self-Aware Language Models Graph of Thoughts: Solving Elaborate Problems with Large Language Models

Reference 59

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Thinking About Thinking: SAGE-nano's Inverse Reasoning for Self-Aware Language Models Large Language Model Guided Tree-of-Thought

Reference 60

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Thinking About Thinking: SAGE-nano's Inverse Reasoning for Self-Aware Language Models Reasoning with Language Model is Planning with World Model

Reference 61

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Thinking About Thinking: SAGE-nano's Inverse Reasoning for Self-Aware Language Models Automatic Chain of Thought Prompting in Large Language Models

Reference 62

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Thinking About Thinking: SAGE-nano's Inverse Reasoning for Self-Aware Language Models Complexity-Based Prompting for Multi-Step Reasoning

Reference 63

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Thinking About Thinking: SAGE-nano's Inverse Reasoning for Self-Aware Language Models Faithful Chain-of-Thought Reasoning

Reference 64

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Observation 6824e0da-91e9-4547-9a8c-cbf88512ff8f · outbound

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Thinking About Thinking: SAGE-nano's Inverse Reasoning for Self-Aware Language Models Measuring Faithfulness in Chain-of-Thought Reasoning

Reference 65

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Observation e9551249-3c46-4628-9079-4e135bd62d59 · outbound

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Thinking About Thinking: SAGE-nano's Inverse Reasoning for Self-Aware Language Models Language Models Don't Always Say What They Think: Unfaithful Explanations in Chain-of-Thought Prompting

Reference 66

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Thinking About Thinking: SAGE-nano's Inverse Reasoning for Self-Aware Language Models Language Models Are Greedy Reasoners: A Systematic Formal Analysis of Chain-of-Thought

Reference 67

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Thinking About Thinking: SAGE-nano's Inverse Reasoning for Self-Aware Language Models Program of Thoughts Prompting: Disentangling Computation from Reasoning for Numerical Reasoning Tasks

Reference 68

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Thinking About Thinking: SAGE-nano's Inverse Reasoning for Self-Aware Language Models PAL: Program-aided Language Models

Reference 69

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Thinking About Thinking: SAGE-nano's Inverse Reasoning for Self-Aware Language Models Show Your Work: Scratchpads for Intermediate Computation with Language Models

Reference 70

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Observation dcd7efd4-f557-428e-9306-70fc13f5d681 · outbound

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Thinking About Thinking: SAGE-nano's Inverse Reasoning for Self-Aware Language Models Larger language models do in-context learning differently

Reference 71

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Thinking About Thinking: SAGE-nano's Inverse Reasoning for Self-Aware Language Models Rethinking the Role of Demonstrations: What Makes In-Context Learning Work?

Reference 72

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Observation dff0128a-b917-41de-9f64-8ece285bd6d5 · outbound

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Thinking About Thinking: SAGE-nano's Inverse Reasoning for Self-Aware Language Models An Explanation of In-context Learning as Implicit Bayesian Inference

Reference 73

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Observation 9a90d048-daaf-4f3d-94e3-3500651ff3d6 · outbound

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Thinking About Thinking: SAGE-nano's Inverse Reasoning for Self-Aware Language Models In-context Learning and Induction Heads

Reference 74

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Thinking About Thinking: SAGE-nano's Inverse Reasoning for Self-Aware Language Models Impact of Pretraining Term Frequencies on Few-Shot Reasoning

Reference 75

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Thinking About Thinking: SAGE-nano's Inverse Reasoning for Self-Aware Language Models Data Distributional Properties Drive Emergent In-Context Learning in Transformers

Reference 76

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Thinking About Thinking: SAGE-nano's Inverse Reasoning for Self-Aware Language Models What Can Transformers Learn In-Context? A Case Study of Simple Function Classes

Reference 77

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Observation 42a377f2-6f54-4f1c-b1c4-675a8a3acb67 · outbound

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Thinking About Thinking: SAGE-nano's Inverse Reasoning for Self-Aware Language Models What learning algorithm is in-context learning? Investigations with linear models

Reference 78

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Observation f01fd6a8-5cee-4206-817b-028894d7fec8 · outbound

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Thinking About Thinking: SAGE-nano's Inverse Reasoning for Self-Aware Language Models Transformers learn in-context by gradient descent

Reference 79

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Thinking About Thinking: SAGE-nano's Inverse Reasoning for Self-Aware Language Models Why Can GPT Learn In-Context? Language Models Implicitly Perform Gradient Descent as Meta-Optimizers

Reference 80

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Thinking About Thinking: SAGE-nano's Inverse Reasoning for Self-Aware Language Models Meta-learning via Language Model In-context Tuning

Reference 81

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Thinking About Thinking: SAGE-nano's Inverse Reasoning for Self-Aware Language Models Demonstrate-Search-Predict: Composing retrieval and language models for knowledge-intensive NLP

Reference 82

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Observation 45b274f0-df37-4269-8f61-47d2e6d1856e · outbound

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Thinking About Thinking: SAGE-nano's Inverse Reasoning for Self-Aware Language Models Generate rather than Retrieve: Large Language Models are Strong Context Generators

Reference 83

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Thinking About Thinking: SAGE-nano's Inverse Reasoning for Self-Aware Language Models When Not to Trust Language Models: Investigating Effectiveness of Parametric and Non-Parametric Memories

Reference 84

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Observation 5afc816b-c571-4478-a31c-4a28bdb25e71 · outbound

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Thinking About Thinking: SAGE-nano's Inverse Reasoning for Self-Aware Language Models Large Language Models Can Be Easily Distracted by Irrelevant Context

Reference 85

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Thinking About Thinking: SAGE-nano's Inverse Reasoning for Self-Aware Language Models Lost in the Middle: How Language Models Use Long Contexts

Reference 86

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Thinking About Thinking: SAGE-nano's Inverse Reasoning for Self-Aware Language Models Debiasing Vision-Language Models via Biased Prompts

Reference 87

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Thinking About Thinking: SAGE-nano's Inverse Reasoning for Self-Aware Language Models Quantifying Memorization Across Neural Language Models

Reference 88

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Thinking About Thinking: SAGE-nano's Inverse Reasoning for Self-Aware Language Models Memorization Without Overfitting: Analyzing the Training Dynamics of Large Language Models

Reference 89

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Observation b2738633-c740-4f3d-ab22-ba4ee7986690 · outbound

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Observation 06a86255-114e-4dff-b40c-aeadc1c86720 · outbound

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Thinking About Thinking: SAGE-nano's Inverse Reasoning for Self-Aware Language Models If 3x + 2 = 14, what is x?

Reference 94

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Observation c7f6204c-6546-4f43-81c3-44cf1744ae92 · outbound

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Thinking About Thinking: SAGE-nano's Inverse Reasoning for Self-Aware Language Models Unresolved cited work

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Observation 61029ebf-b78f-49b7-865c-8d08ac8ae6ce · outbound

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Observation 7087d3db-d955-4134-b26e-c997c74dcf82 · outbound

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Thinking About Thinking: SAGE-nano's Inverse Reasoning for Self-Aware Language Models In a tournament, each team plays every other team exactly once. If there are 156 games total, how many teams participated?

Reference 97

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Observation f5156283-f46e-431d-b9a9-0d8582420012 · outbound

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Thinking About Thinking: SAGE-nano's Inverse Reasoning for Self-Aware Language Models Explain why you chose method A over method B

Reference 156

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