Papers
Confidence and Stability of Global and Pairwise Scores in NLP Evaluation
Georgii Levtsov, Dmitry Ustalov
Confidence-based Estimators for Predictive Performance in Model Monitoring (Abstract Reprint)
Juhani Kivimäki, Jakub Białek, Jukka K. Nurminen et al.
Confidence-Based Response Abstinence: Improving LLM Trustworthiness via Activation-Based Uncertainty Estimation
Zhiqi Huang, Vivek Datla, Chenyang Zhu et al.
Confidence Calibration for Multimodal LLMs: An Empirical Study through Medical VQA
Yuetian Du, Yucheng Wang, Ming Kong et al.
Confidence Calibration in Large Language Model-Based Entity Matching
Iris Kamsteeg, Juan Cardenas-Cartagena, Floris van Beers et al.
Confidence Difference Reflects Various Supervised Signals in Confidence-Difference Classification
Yuanchao Dai, Ximing Li, Changchun Li
Confidence Elicitation: A New Attack Vector for Large Language Models
Brian Formento, Chuan-Sheng Foo, See-Kiong Ng
Confidence Estimation for Error Detection in Text-to-SQL Systems
Oleg Somov, Elena Tutubalina
Confidence-guided Refinement Reasoning for Zero-shot Question Answering
Youwon Jang, Woo Suk Choi, Minjoon Jung et al.
Confidence Improves Self-Consistency in LLMs
Amir Taubenfeld, Tom Sheffer, Eran Ofek et al.
Confidence in Angle Predictions for Clinical Decision Support
Allison Clement, James Willoughby, Irina Voiculescu
Confidence v.s. Critique: A Decomposition of Self-Correction Capability for LLMs
Zhe Yang, Yichang Zhang, Yudong Wang et al.
Confidential Guardian: Cryptographically Prohibiting the Abuse of Model Abstention
Stephan Rabanser, Ali Shahin Shamsabadi, Olive Franzese et al.
ConFIG: Towards Conflict-free Training of Physics Informed Neural Networks
Qiang Liu, Mengyu Chu, Nils Thuerey
Configurable Platform for Biomedical Literature Mining via Multimodal-Driven Extraction
Xinpan Yuan, Bozhao Li, Guihu Zhao et al.
Configuring Data Augmentations to Reduce Variance Shift in Positional Embedding of Vision Transformers
Bum Jun Kim, Sang Woo Kim
ConfigX: Modular Configuration for Evolutionary Algorithms via Multitask Reinforcement Learning
Hongshu Guo, Zeyuan Ma, Jiacheng Chen et al.
ConFit v2: Improving Resume-Job Matching using Hypothetical Resume Embedding and Runner-Up Hard-Negative Mining
Xiao Yu, Ruize Xu, Chengyuan Xue et al.
Conflict and Overlap Classification in Construction Standards Using a Large Language Model
Seong-Jin Park, Youn-Gyu Jin, Hyun-Young Moon et al.
Conflict-Averse Gradient Aggregation for Constrained Multi-Objective Reinforcement Learning
Dohyeong Kim, Mineui Hong, Jeongho Park et al.
Conflict-Aware Soft Prompting for Retrieval-Augmented Generation
Eunseong Choi, June Park, Hyeri Lee et al.
Conflicting Needles in a Haystack: How LLMs behave when faced with contradictory information
Murathan Kurfali, Robert Östling
Conflicts in Texts: Data, Implications and Challenges
Siyi Liu, Dan Roth
Conformal Anomaly Detection in Event Sequences
Shuai Zhang, Chuan Zhou, Yang Liu et al.