Towards Harmonized Uncertainty Estimation for Large Language Models | Paper Citation Record

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This paper cites Cautious Calibration in Binary Classification.

Towards Harmonized Uncertainty Estimation for Large Language Models Cautious Calibration in Binary Classification

Reference 1

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This paper cites The Internal State of an LLM Knows When It's Lying.

Towards Harmonized Uncertainty Estimation for Large Language Models The Internal State of an LLM Knows When It's Lying

Reference 3

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This paper cites MARS: Meaning-Aware Response Scoring for Uncertainty Estimation in Generative LLMs.

Towards Harmonized Uncertainty Estimation for Large Language Models MARS: Meaning-Aware Response Scoring for Uncertainty Estimation in Generative LLMs

Reference 4

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This paper cites Cycles of Thought: Measuring LLM Confidence through Stable Explanations.

Towards Harmonized Uncertainty Estimation for Large Language Models Cycles of Thought: Measuring LLM Confidence through Stable Explanations

Reference 5

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This paper cites Finetuning Language Models to Emit Linguistic Expressions of Uncertainty.

Towards Harmonized Uncertainty Estimation for Large Language Models Finetuning Language Models to Emit Linguistic Expressions of Uncertainty

Reference 6

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This paper cites Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language Models.

Towards Harmonized Uncertainty Estimation for Large Language Models Shifting Attention to Relevance: Towards the Predictive Uncertainty Quantification of Free-Form Large Language Models

Reference 7

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This paper cites The Llama 3 Herd of Models.

Towards Harmonized Uncertainty Estimation for Large Language Models The Llama 3 Herd of Models

Reference 8

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Reference 9

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Reference 10

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Observation 7a216edf-40dd-4268-8e17-ed17375f73ad · outbound

This paper cites Overconfidence is Key: Verbalized Uncertainty Evaluation in Large Language and Vision-Language Models.

Towards Harmonized Uncertainty Estimation for Large Language Models Overconfidence is Key: Verbalized Uncertainty Evaluation in Large Language and Vision-Language Models

Reference 11

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This paper cites Enhancing Confidence Expression in Large Language Models Through Learning from Past Experience.

Towards Harmonized Uncertainty Estimation for Large Language Models Enhancing Confidence Expression in Large Language Models Through Learning from Past Experience

Reference 12

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This paper cites DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing.

Towards Harmonized Uncertainty Estimation for Large Language Models DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with Gradient-Disentangled Embedding Sharing

Reference 13

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Reference 14

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Observation 6a79de91-66ef-4c07-a39c-e7ffc4c9c94a · outbound

This paper cites LLM Internal States Reveal Hallucination Risk Faced With a Query.

Towards Harmonized Uncertainty Estimation for Large Language Models LLM Internal States Reveal Hallucination Risk Faced With a Query

Reference 15

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This paper cites What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams.

Towards Harmonized Uncertainty Estimation for Large Language Models What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Reference 16

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This paper cites TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension.

Towards Harmonized Uncertainty Estimation for Large Language Models TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension

Reference 17

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This paper cites Language Models (Mostly) Know What They Know.

Towards Harmonized Uncertainty Estimation for Large Language Models Language Models (Mostly) Know What They Know

Reference 18

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This paper cites Selective Question Answering under Domain Shift.

Towards Harmonized Uncertainty Estimation for Large Language Models Selective Question Answering under Domain Shift

Reference 19

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Observation 9944d855-1f65-4a35-980c-a38437345775 · outbound

This paper cites Semantic Entropy Probes: Robust and Cheap Hallucination Detection in LLMs.

Towards Harmonized Uncertainty Estimation for Large Language Models Semantic Entropy Probes: Robust and Cheap Hallucination Detection in LLMs

Reference 21

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This paper cites Semantic Uncertainty: Linguistic Invariances for Uncertainty Estimation in Natural Language Generation.

Towards Harmonized Uncertainty Estimation for Large Language Models Semantic Uncertainty: Linguistic Invariances for Uncertainty Estimation in Natural Language Generation

Reference 22

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This paper cites Think Twice Before Trusting: Self-Detection for Large Language Models through Comprehensive Answer Reflection.

Towards Harmonized Uncertainty Estimation for Large Language Models Think Twice Before Trusting: Self-Detection for Large Language Models through Comprehensive Answer Reflection

Reference 24

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This paper cites Generating with Confidence: Uncertainty Quantification for Black-box Large Language Models.

Towards Harmonized Uncertainty Estimation for Large Language Models Generating with Confidence: Uncertainty Quantification for Black-box Large Language Models

Reference 25

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Towards Harmonized Uncertainty Estimation for Large Language Models Uncertainty Estimation and Quantification for LLMs: A Simple Supervised Approach

Reference 26

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This paper cites RoBERTa: A Robustly Optimized BERT Pretraining Approach.

Towards Harmonized Uncertainty Estimation for Large Language Models RoBERTa: A Robustly Optimized BERT Pretraining Approach

Reference 27

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This paper cites Do LLMs Know When to NOT Answer? Investigating Abstention Abilities of Large Language Models.

Towards Harmonized Uncertainty Estimation for Large Language Models Do LLMs Know When to NOT Answer? Investigating Abstention Abilities of Large Language Models

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This paper cites Uncertainty Estimation in Autoregressive Structured Prediction.

Towards Harmonized Uncertainty Estimation for Large Language Models Uncertainty Estimation in Autoregressive Structured Prediction

Reference 30

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This paper cites Are Large Language Models More Honest in Their Probabilistic or Verbalized Confidence?.

Towards Harmonized Uncertainty Estimation for Large Language Models Are Large Language Models More Honest in Their Probabilistic or Verbalized Confidence?

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This paper cites Kernel Language Entropy: Fine-grained Uncertainty Quantification for LLMs from Semantic Similarities.

Towards Harmonized Uncertainty Estimation for Large Language Models Kernel Language Entropy: Fine-grained Uncertainty Quantification for LLMs from Semantic Similarities

Reference 32

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Towards Harmonized Uncertainty Estimation for Large Language Models GPT-4 Technical Report

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Towards Harmonized Uncertainty Estimation for Large Language Models Large Language Model Confidence Estimation via Black-Box Access

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Towards Harmonized Uncertainty Estimation for Large Language Models Thermometer: Towards Universal Calibration for Large Language Models

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Towards Harmonized Uncertainty Estimation for Large Language Models When to Trust LLMs: Aligning Confidence with Response Quality

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Towards Harmonized Uncertainty Estimation for Large Language Models LLaMA: Open and Efficient Foundation Language Models

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Towards Harmonized Uncertainty Estimation for Large Language Models Llama 2: Open Foundation and Fine-Tuned Chat Models

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Towards Harmonized Uncertainty Estimation for Large Language Models Calibrating Large Language Models Using Their Generations Only

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This paper cites Word-Sequence Entropy: Towards Uncertainty Estimation in Free-Form Medical Question Answering Applications and Beyond.

Towards Harmonized Uncertainty Estimation for Large Language Models Word-Sequence Entropy: Towards Uncertainty Estimation in Free-Form Medical Question Answering Applications and Beyond

Reference 46

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This paper cites Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs.

Towards Harmonized Uncertainty Estimation for Large Language Models Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs

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Towards Harmonized Uncertainty Estimation for Large Language Models Do Not Design, Learn: A Trainable Scoring Function for Uncertainty Estimation in Generative LLMs

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Towards Harmonized Uncertainty Estimation for Large Language Models Just rephrase it! Uncertainty estimation in closed-source language models via multiple rephrased queries

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Towards Harmonized Uncertainty Estimation for Large Language Models OPT: Open Pre-trained Transformer Language Models

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Towards Harmonized Uncertainty Estimation for Large Language Models Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models

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Towards Harmonized Uncertainty Estimation for Large Language Models online" 'onlinestring :=

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Towards Harmonized Uncertainty Estimation for Large Language Models write newline

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