Papers
Confidence-Driven Multi-Scale Model Selection for Cost-Efficient Inference
Bo-Wei Chen, Chung-Chi Chen, An-Zi Yen
Confidence Estimation for Text-to-SQL in Large Language Models
Sepideh Entezari Maleki, Mohammadreza Pourreza, Davood Rafiei
Confidence-Guided Stepwise Model Routing for Cost-Efficient Reasoning
Sangmook Lee, Dohyung Kim, Hyukhun Koh et al.
Confidence Leaps in LLM Reasoning: Early Stopping and Cross-Model Transfer
Pavel Tikhonov, Ivan Oseledets, Elena Tutubalina
Confidence Should Be Calibrated More Than One Turn Deep
Zhaohan Zhang, Chengzhengxu Li, Xiaoming Liu et al.
Confidence Through Parallel Attention for Depth and Uncertainty Estimation in Dynamic Environments
Onkar Susladkar, Rohit Pawar, Chirag Sehgal et al.
Confident, Calibrated, or Complicit: Safety Alignment and Ideological Bias in LLM Hate Speech Detection
Sanjeevan Selvaganapathy, Mehwish Nasim
Confirmation Bias: A Challenge for Scalable Oversight
Gabriel Recchia, Chatrik Singh Mangat, Jinu Nyachhyon et al.
Conflict-Aware Memory for Embodied Agents: Enhancing Vector Data Quality via Detection Rules
Kexin Ma, Haotian Wang, Shenglin Chen et al.
Conformable Convolution for Topologically Constrained Learning of Complex Anatomical Structures
Yousef Yeganeh, Goktug Guvercin, Nassir Navab et al.
Conformal Constrained Policy Optimization for Cost-Effective LLM Agents
Wenwen Si, Sooyong Jang, Insup Lee et al.
Conformal Feedback Alignment: Quantifying Answer-Level Reliability for Robust LLM Alignment
Tiejin Chen, Xiaoou Liu, Vishnu Nandam et al.
Conformal LLM Routing with Distribution-Free Safety Guarantees
Iqtedar Uddin, André Bauer
Conformal Prediction for Multi-Source Detection on a Network
Xingchao Jian, Purui Zhang, Lan Tian et al.
Conformal Prediction Meets Long-tail Classification
Shuqi Liu, Jianguo Huang, Luke Ong
ConfSpec: Efficient Step-Level Speculative Reasoning via Confidence-Gated Verification
Siran Liu, Zane Cao, Yongchao He
CONGRAD: Conflicting Gradient Filtering for Multilingual Preference Alignment
Jiangnan Li, Thuy-Trang Vu, Christian Herold et al.
ConInstruct: Evaluating Large Language Models on Conflict Detection and Resolution in Instructions
Xingwei He, Qianru Zhang, Pengfei Chen et al.
Conjunctive Prompt Attacks in Multi-Agent LLM Systems
Nokimul Hasan Arif, Qian Lou, Mengxin Zheng
Conjuring Positive Pairs for Efficient Unification of Representation Learning and Image Synthesis
Imanol G. Estepa, Jesús M. Rodríguez-de-Vera, Ignacio Sarasúa et al.
ConlangCrafter: Constructing Languages with a Multi-Hop LLM Pipeline
Morris Alper, Moran Yanuka, Raja Giryes et al.
ConLID: Supervised Contrastive Learning for Low-Resource Language Identification
Negar Foroutan, Jakhongir Saydaliev, Grace Kim et al.
Connecting the Dots: Training-Free Visual Grounding via Agentic Reasoning
Liqin Luo, Guangyao Chen, Xiawu Zheng et al.
Connectivity-Guided Sparsification of 2-FWL GNNs: Preserving Full Expressivity with Improved Efficiency
Rongqin Chen, Fan Mo, Pak Lon Ip et al.
ConRAS: Contrastive In-context Learning Framework for Retrieval-Augmented Summarization
Juseon Do, Sungwoo Han, Jingun Kwon et al.