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Workshop
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Decision-Driven Calibration for Cost-Sensitive Uncertainty Quantification
Gregory Canal · Vladimir Leung · John Guerrerio · Philip Sage · I-Jeng Wang
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Workshop
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Sat 13:36
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Post-Training Statistical Calibration for Higher Activation Sparsity
Vui Seng Chua · Yujie Pan · Nilesh Jain · Vui Seng Chua
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Workshop
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Sun 13:40
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On Calibration of LLM-based Guard Models for Reliable Content Moderationpdf icon
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Workshop
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Sun 12:00
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SLaNC: Static LayerNorm Calibration
Mahsa Salmani · Nikita Trukhanov · Ilya Soloveychik
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Workshop
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Sat 15:45
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Functional-level Uncertainty Quantification for Calibrated Fine-tuning on LLMs
Ruijia Niu · Dongxia Wu · Rose Yu · Yian Ma
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Workshop
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Refusal Tokens: A Simple Way to Calibrate Refusals in Large Language Models
Neel Jain · Aditya Shrivastava · Chenyang Zhu · Daben Liu · Alfy Samuel · Ashwinee Panda · Anoop Kumar · Micah Goldblum · Tom Goldstein
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Competition
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Sat 10:12
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6th Place Solution: Simple but Effective Approaches to Spectrum Calibration and Prediction in the Ariel Data Challenge 2024
Dmitrii Rudenko
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Workshop
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AdapTable: Test-Time Adaptation for Tabular Data via Shift-Aware Uncertainty Calibrator and Label Distribution Handler
Changhun Kim · Taewon Kim · Seungyeon Woo · June Yong Yang · Eunho Yang
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Workshop
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Sun 14:55
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Calibrating LLMs with Preference Optimization on Thought Trees for Generating Rationale in Science Question Scoring
Jiazheng Li · Hainiu Xu · ZHAOYUE SUN · Yuxiang Zhou · David West · Cesare Aloisi · Yulan He
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Workshop
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Sat 12:00
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Learning to Generate Verbalized Confidences
Sophia Hager · Nicholas Andrews
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Workshop
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Regulation of Algorithmic Collusion, Refined: Testing Worst-case Calibrated Regret
Jason Hartline · Chang Wang · Chenhao Zhang
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Workshop
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Mitigating Overconfidence in Large Language Models: A Behavioral Lens on Confidence Estimation and Calibration
Bingbing Wen · Chenjun Xu · Bin Han · Robert Wolfe · Lucy Lu Wang · Bill Howe
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