Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback | Paper Citation Record

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Functional-level Uncertainty Quantification for Calibrated Fine-tuning on LLMs cites this paper.

Functional-level Uncertainty Quantification for Calibrated Fine-tuning on LLMs Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback

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Is my Meeting Summary Good? Estimating Quality with a Multi-LLM Evaluator cites this paper.

Is my Meeting Summary Good? Estimating Quality with a Multi-LLM Evaluator Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback

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A Survey on Uncertainty Quantification of Large Language Models: Taxonomy, Open Research Challenges, and Future Directions cites this paper.

A Survey on Uncertainty Quantification of Large Language Models: Taxonomy, Open Research Challenges, and Future Directions Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback

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UAlign: Leveraging Uncertainty Estimations for Factuality Alignment on Large Language Models cites this paper.

UAlign: Leveraging Uncertainty Estimations for Factuality Alignment on Large Language Models Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback

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Can You Trust LLM Judgments? Reliability of LLM-as-a-Judge cites this paper.

Can You Trust LLM Judgments? Reliability of LLM-as-a-Judge Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback

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Unveiling Uncertainty: A Deep Dive into Calibration and Performance of Multimodal Large Language Models cites this paper.

Unveiling Uncertainty: A Deep Dive into Calibration and Performance of Multimodal Large Language Models Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback

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ReFoRCE: A Text-to-SQL Agent with Self-Refinement, Consensus Enforcement, and Column Exploration cites this paper.

ReFoRCE: A Text-to-SQL Agent with Self-Refinement, Consensus Enforcement, and Column Exploration Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback

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What is a Number, That a Large Language Model May Know It? cites this paper.

What is a Number, That a Large Language Model May Know It? Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback

Reference 22

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AI Alignment at Your Discretion cites this paper.

AI Alignment at Your Discretion Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback

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Exploring the Potential for Large Language Models to Demonstrate Rational Probabilistic Beliefs cites this paper.

Exploring the Potential for Large Language Models to Demonstrate Rational Probabilistic Beliefs Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback

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Guiding VLM Agents with Process Rewards at Inference Time for GUI Navigation Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback

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Lightweight Latent Verifiers for Efficient Meta-Generation Strategies cites this paper.

Lightweight Latent Verifiers for Efficient Meta-Generation Strategies Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback

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From Evidence to Belief: A Bayesian Epistemology Approach to Language Models cites this paper.

From Evidence to Belief: A Bayesian Epistemology Approach to Language Models Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback

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How Knowledge Popularity Influences and Enhances LLM Knowledge Boundary Perception cites this paper.

How Knowledge Popularity Influences and Enhances LLM Knowledge Boundary Perception Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback

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Grammars of Formal Uncertainty: When to Trust LLMs in Automated Reasoning Tasks cites this paper.

Grammars of Formal Uncertainty: When to Trust LLMs in Automated Reasoning Tasks Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback

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Maximizing Confidence Alone Improves Reasoning cites this paper.

Maximizing Confidence Alone Improves Reasoning Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback

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Revisiting Uncertainty Estimation and Calibration of Large Language Models cites this paper.

Revisiting Uncertainty Estimation and Calibration of Large Language Models Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback

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Shaking to Reveal: Perturbation-Based Detection of LLM Hallucinations Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback

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SQLens: An End-to-End Framework for Error Detection and Correction in Text-to-SQL cites this paper.

SQLens: An End-to-End Framework for Error Detection and Correction in Text-to-SQL Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback

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AbstentionBench: Reasoning LLMs Fail on Unanswerable Questions cites this paper.

AbstentionBench: Reasoning LLMs Fail on Unanswerable Questions Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback

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Reasoning about Uncertainty: Do Reasoning Models Know When They Don't Know? cites this paper.

Reasoning about Uncertainty: Do Reasoning Models Know When They Don't Know? Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback

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Loki's Dance of Illusions: A Comprehensive Survey of Hallucination in Large Language Models cites this paper.

Loki's Dance of Illusions: A Comprehensive Survey of Hallucination in Large Language Models Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback

Reference 73

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How Overconfidence in Initial Choices and Underconfidence Under Criticism Modulate Change of Mind in Large Language Models Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback

Reference 2025

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Co-DETECT: Collaborative Discovery of Edge Cases in Text Classification Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback

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Uncertainty-Driven Expert Control: Enhancing the Reliability of Medical Vision-Language Models cites this paper.

Uncertainty-Driven Expert Control: Enhancing the Reliability of Medical Vision-Language Models Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback

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Counterfactual Probing for Hallucination Detection and Mitigation in Large Language Models Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback

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Mind the Generation Process: Fine-Grained Confidence Estimation During LLM Generation cites this paper.

Mind the Generation Process: Fine-Grained Confidence Estimation During LLM Generation Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback

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PaVeRL-SQL: Text-to-SQL via Partial-Match Rewards and Verbal Reinforcement Learning cites this paper.

PaVeRL-SQL: Text-to-SQL via Partial-Match Rewards and Verbal Reinforcement Learning Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback

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Inteligencia Artificial jur\'idica y el desaf\'io de la veracidad: an\'alisis de alucinaciones, optimizaci\'on de RAG y principios para una integraci\'on responsable cites this paper.

Inteligencia Artificial jur\'idica y el desaf\'io de la veracidad: an\'alisis de alucinaciones, optimizaci\'on de RAG y principios para una integraci\'on responsable Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback

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LAVA: Language Model Assisted Verbal Autopsy for Cause-of-Death Determination cites this paper.

LAVA: Language Model Assisted Verbal Autopsy for Cause-of-Death Determination Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback

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Unsupervised Hallucination Detection by Inspecting Reasoning Processes cites this paper.

Unsupervised Hallucination Detection by Inspecting Reasoning Processes Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback

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HalluField: Detecting LLM Hallucinations via Field-Theoretic Modeling cites this paper.

HalluField: Detecting LLM Hallucinations via Field-Theoretic Modeling Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback

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Enhancing Trustworthy GUI Grounding via Self-Critiqued Reinforcement Learning cites this paper.

Enhancing Trustworthy GUI Grounding via Self-Critiqued Reinforcement Learning Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback

Reference 30

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Can LLMs Estimate Student Struggles? Human-AI Difficulty Alignment with Proficiency Simulation for Item Difficulty Prediction cites this paper.

Can LLMs Estimate Student Struggles? Human-AI Difficulty Alignment with Proficiency Simulation for Item Difficulty Prediction Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback

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UCPO: Uncertainty-Aware Policy Optimization cites this paper.

UCPO: Uncertainty-Aware Policy Optimization Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback

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Uncertainty-aware Generative Recommendation cites this paper.

Uncertainty-aware Generative Recommendation Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback

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How do LLMs Compute Verbal Confidence cites this paper.

How do LLMs Compute Verbal Confidence Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback

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Causal Evidence that Language Models use Confidence to Drive Behavior cites this paper.

Causal Evidence that Language Models use Confidence to Drive Behavior Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback

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SELFDOUBT: Uncertainty Quantification for Reasoning LLMs via the Hedge-to-Verify Ratio Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback

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Act or Escalate? Evaluating Escalation Behavior in Automation with Language Models cites this paper.

Act or Escalate? Evaluating Escalation Behavior in Automation with Language Models Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback

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UsefulBench: Towards Decision-Useful Information as a Target for Information Retrieval cites this paper.

UsefulBench: Towards Decision-Useful Information as a Target for Information Retrieval Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback

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Verbal Confidence Saturation in 3-9B Open-Weight Instruction-Tuned LLMs: A Pre-Registered Psychometric Validity Screen cites this paper.

Verbal Confidence Saturation in 3-9B Open-Weight Instruction-Tuned LLMs: A Pre-Registered Psychometric Validity Screen Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback

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How LLMs Detect and Correct Their Own Errors: The Role of Internal Confidence Signals cites this paper.

How LLMs Detect and Correct Their Own Errors: The Role of Internal Confidence Signals Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback

Reference 21

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Confidence Estimation in Automatic Short Answer Grading with LLMs cites this paper.

Confidence Estimation in Automatic Short Answer Grading with LLMs Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback

Reference 30

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Confidence Estimation in Automatic Short Answer Grading with LLMs cites this paper.

Confidence Estimation in Automatic Short Answer Grading with LLMs Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback

Reference 30

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Zero-Shot Confidence Estimation for Small LLMs: When Supervised Baselines Aren't Worth Training cites this paper.

Zero-Shot Confidence Estimation for Small LLMs: When Supervised Baselines Aren't Worth Training Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback

Reference 23

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LLMs are not (consistently) Bayesian: Quantifying internal (in)consistencies of LLMs' probabilistic beliefs cites this paper.

LLMs are not (consistently) Bayesian: Quantifying internal (in)consistencies of LLMs' probabilistic beliefs Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback

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Inducing Artificial Uncertainty in Language Models cites this paper.

Inducing Artificial Uncertainty in Language Models Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback

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Observation 8edc7c8f-98b6-4ad1-b7b2-63d67aac3c24 · inbound

Margin-Adaptive Confidence Ranking for Reliable LLM Judgement cites this paper.

Margin-Adaptive Confidence Ranking for Reliable LLM Judgement Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback

Reference 1

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T16:12:39.544765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 78049a4b-e569-49a0-ae1c-4b1bc001a279 · inbound

MARGIN: Runtime Confidence Calibration for Multi-Agent Foundation Model Coordination cites this paper.

MARGIN: Runtime Confidence Calibration for Multi-Agent Foundation Model Coordination Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-25T06:10:23.641444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5e85ed73-3521-409a-9b45-06c43adfaae2 · inbound

MARGIN: Runtime Confidence Calibration for Multi-Agent Foundation Model Coordination cites this paper.

MARGIN: Runtime Confidence Calibration for Multi-Agent Foundation Model Coordination Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-06-30T16:44:56.166499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 142b36c8-98e7-4bc7-8993-b252bd342ebc · inbound

MARGIN: Runtime Confidence Calibration for Multi-Agent Foundation Model Coordination cites this paper.

MARGIN: Runtime Confidence Calibration for Multi-Agent Foundation Model Coordination Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-03T02:19:38.063144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c4f7439e-d337-448d-8cf7-f44492eb1078 · inbound

Confidence Calibration in Large Language Models cites this paper.

Confidence Calibration in Large Language Models Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback

Reference 18

Resolution: unresolved; no resolver link, observed 2026-07-13T13:23:25.998584Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e35011d6-a110-4991-bc9a-add26e706319 · inbound

Functional Entropy: Predicting Functional Correctness in LLM-Generated Code with Uncertainty Quantification cites this paper.

Functional Entropy: Predicting Functional Correctness in LLM-Generated Code with Uncertainty Quantification Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback

Reference 26

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T13:23:27.683822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 9e1c07db-f4f3-4a79-8465-d045fab9c574 · inbound

VLAConf: Calibrated Task-Success Confidence for Vision-Language-Action Models cites this paper.

VLAConf: Calibrated Task-Success Confidence for Vision-Language-Action Models Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback

Reference 8

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T14:13:30.494545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a9316994-81e5-4599-ae7a-a6202369a667 · inbound

Beyond Agreement: Scoring Panel-Surfaced Biomedical Entity Candidates for Curator Triage cites this paper.

Beyond Agreement: Scoring Panel-Surfaced Biomedical Entity Candidates for Curator Triage Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T19:16:00.148765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c081905b-0e32-479a-a5ba-b78c17033301 · inbound

NBQ: Next-Best-Question for Dynamic Profiling cites this paper.

NBQ: Next-Best-Question for Dynamic Profiling Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-06-28T20:32:37.910080Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 5d0c1da4-8c9c-4093-844b-64238ab22f14 · inbound

Can LLM Rerankers Predict Their Own Ranking Performance? cites this paper.

Can LLM Rerankers Predict Their Own Ranking Performance? Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback

Reference 51

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T05:16:39.622791Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 49cea165-9b97-443f-b295-d6c7a0ba96ea · inbound

The Measurement Gap in the Automation of EU Law: Benchmarking Doctrinal Legal Reasoning under the EU AI Act cites this paper.

The Measurement Gap in the Automation of EU Law: Benchmarking Doctrinal Legal Reasoning under the EU AI Act Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback

Reference 69

Resolution: verified exact; arxiv_id, observed 2026-07-03T23:29:02.480627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e1eed9f8-467b-4df8-8149-7e599f67cbbd · inbound

Confidence Calibration for Multimodal LLMs: An Empirical Study through Medical VQA cites this paper.

Confidence Calibration for Multimodal LLMs: An Empirical Study through Medical VQA Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback

Reference 24

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T03:39:30.312099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation e622431a-d4eb-401d-a148-c66978bcc057 · inbound

Beyond Logprobs: A Multi-Signal Confidence Engine for LLM-Based Document Field Extraction cites this paper.

Beyond Logprobs: A Multi-Signal Confidence Engine for LLM-Based Document Field Extraction Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback

Reference 21

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T17:09:59.431676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 259b9f1f-d222-48c4-baf7-7cb74bc18f70 · inbound

Just how sure are you? Improving Verbalized Uncertainty Calibration in Medical VQA cites this paper.

Just how sure are you? Improving Verbalized Uncertainty Calibration in Medical VQA Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback

Reference 4

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T12:59:52.905360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b1b13f8b-bcc3-4d38-bb68-fe9cca14be69 · inbound

Reported Confidence in LLMs Tracks Commitment More Than Correctness cites this paper.

Reported Confidence in LLMs Tracks Commitment More Than Correctness Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-06-30T08:04:28.805928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation bf219580-2e9f-420b-9c2e-50f8b5cd14fc · inbound

Scaling with Confidence: Calibrating Confidence of LLMs for Adaptive Test Time Scaling cites this paper.

Scaling with Confidence: Calibrating Confidence of LLMs for Adaptive Test Time Scaling Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback

Reference 13

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T14:58:32.561986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation a2034867-06e2-4406-8eb4-5e8bc1ce6a27 · inbound

Estimating Uncertainty from Reasoning: A Large-Scale Study of Multi- and Crosslingual MCQA Performance in LLMs cites this paper.

Estimating Uncertainty from Reasoning: A Large-Scale Study of Multi- and Crosslingual MCQA Performance in LLMs Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback

Reference 16

Resolution: verified exact; local_arxiv, observed 2026-07-08T10:04:51.526734Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 02576b22-d371-4fae-a7d4-85bdd210f3b7 · inbound

The Computational Basis of Confidence in Large Language Models cites this paper.

The Computational Basis of Confidence in Large Language Models Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-02T06:37:42.016252Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 40fa64b1-f4d3-4ab8-be2c-ecec87abbdde · inbound

Small Vision-Language Models Know When They Are Wrong But Cannot Say So: A Two-Model Study of Stated versus Internal Confidence Under Realistic Image Degradation cites this paper.

Small Vision-Language Models Know When They Are Wrong But Cannot Say So: A Two-Model Study of Stated versus Internal Confidence Under Realistic Image Degradation Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-01T06:03:16.937188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f410d905-d7d6-47c2-9bcf-a59056b4edb9 · inbound

Bigger or Cheaper? Scale and Quantization Effects on Uncertainty Signals in Vision-Language Models Under Image Degradation cites this paper.

Bigger or Cheaper? Scale and Quantization Effects on Uncertainty Signals in Vision-Language Models Under Image Degradation Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback

Reference 11

Resolution: unresolved; no resolver link, observed 2026-07-31T14:56:09.451029Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e4b0f74-8b50-49b1-b90b-1807ef6b6d13 · inbound

One Human, $N$ Agents: Audit-Budget Allocation for LLM Agent Fleets under Miscalibrated, Correlated Confidence cites this paper.

One Human, $N$ Agents: Audit-Budget Allocation for LLM Agent Fleets under Miscalibrated, Correlated Confidence Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback

Reference 21

Resolution: unresolved; no resolver link, observed 2026-07-31T11:29:22.475836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e044ebba-bf2a-40b4-8c3f-3ae1fe444e5b · inbound

CARE: Confidence-Aware Reasoning for Reliable Medical VQA cites this paper.

CARE: Confidence-Aware Reasoning for Reliable Medical VQA Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-12T13:21:40.289944Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 028d454e-2beb-4367-b1fb-0f89be3d99cc · inbound

Explanatory Engagement Under Rare Anomalous Failure: Asymptotic Rarity in Model Behavior (or: The Asymptotic AI) cites this paper.

Explanatory Engagement Under Rare Anomalous Failure: Asymptotic Rarity in Model Behavior (or: The Asymptotic AI) Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-15T17:37:14.051600Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Coverage vector

Reference resolution

Outbound references

Pith citing papers