Papers
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 in Large Language Model-Based Entity Matching
Iris Kamsteeg, Juan Cardenas-Cartagena, Floris van Beers et al.
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 v.s. Critique: A Decomposition of Self-Correction Capability for LLMs
Zhe Yang, Yichang Zhang, Yudong Wang et al.
ConFIG: Towards Conflict-free Training of Physics Informed Neural Networks
Qiang Liu, Mengyu Chu, Nils Thuerey
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 Generative Modeling with Improved Sample Efficiency through Sequential Greedy Filtering
Klaus-Rudolf Kladny, Bernhard Schölkopf, Michael Muehlebach
Conformal Inference of Individual Treatment Effects Using Conditional Density Estimates
Baozhen Wang, Xingye Qiao
Conformalized Answer Set Prediction for Knowledge Graph Embedding
Yuqicheng Zhu, Nico Potyka, Jiarong Pan et al.
Conformalized Interactive Imitation Learning: Handling Expert Shift and Intermittent Feedback
Michelle D Zhao, Henny Admoni, Reid Simmons et al.
Conformalized Interval Arithmetic with Symmetric Calibration
Rui Luo, Zhixin Zhou
Conformalized Survival Analysis for General Right-Censored Data
Hen Davidov, Shai Feldman, Gil Shamai et al.
Conformal Language Model Reasoning with Coherent Factuality
Maxon Rubin-Toles, Maya Gambhir, Keshav Ramji et al.
Conformal Prediction and MLLM aided Uncertainty Quantification in Scene Graph Generation
Sayak Nag, Udita Ghosh, Calvin-Khang Ta et al.