Papers
ConQRet: A New Benchmark for Fine-Grained Automatic Evaluation of Retrieval Augmented Computational Argumentation
Kaustubh Dhole, Kai Shu, Eugene Agichtein
ConQuer: A Framework for Concept-Based Quiz Generation
Yicheng Fu, Zikui Wang, Liuxin Yang et al.
Con-ReCall: Detecting Pre-training Data in LLMs via Contrastive Decoding
Cheng Wang, Yiwei Wang, Bryan Hooi et al.
ConRFT: A Reinforced Fine-tuning Method for VLA Models via Consistency Policy
Yuhui Chen, Shuai Tian, Shugao Liu et al.
CONSENSAGENT: Towards Efficient and Effective Consensus in Multi-Agent LLM Interactions Through Sycophancy Mitigation
Priya Pitre, Naren Ramakrishnan, Xuan Wang
ConSense: Continually Sensing Human Activity with WiFi via Growing and Picking
Rong Li, Tao Deng, Siwei Feng et al.
Consensus Based Stochastic Optimal Control
Liyao Lyu, Jingrun Chen
Consensus-Driven Active Model Selection
Justin Kay, Grant Van Horn, Subhransu Maji et al.
Consensus-Guided Incomplete Multi-view Clustering via Cross-view Affinities Learning
Qian Liu, Huibing Wang, Jinjia Peng et al.
Consensus Is All You Get: The Role of Attention in Transformers
Álvaro Rodrı́guez Abella, João Pedro Silvestre, Paulo Tabuada
Consensus or Conflict? Fine-Grained Evaluation of Conflicting Answers in Question-Answering
Eviatar Nachshoni, Arie Cattan, Shmuel Amar et al.
Conservative Bias in Large Language Models: Measuring Relation Predictions
Toyin Aguda, Erik Wilson, Allan Anzagira et al.
Conservative Contextual Bandits: Beyond Linear Representations
Rohan Deb, Mohammad Ghavamzadeh, Arindam Banerjee
Conservative Offline Goal-Conditioned Implicit V-Learning
Kaiqiang Ke, Qian Lin, Zongkai Liu et al.
Conservative-Radical Complementary Learning for Class-incremental Medical Image Analysis with Pre-trained Foundation Models
Xinyao Wu, Zhe Xu, Donghuan Lu et al.
ConShift: Sense-based Language Variation Analysis using Flexible Alignment
Clare Arrington, Mauricio Gruppi, Sibel Adali
Considering Length Diversity in Retrieval-Augmented Summarization
Juseon-Do, Jaesung Hwang, Jingun Kwon et al.
ConSim: Measuring Concept-Based Explanations’ Effectiveness with Automated Simulatability
Antonin Poché, Alon Jacovi, Agustin Martin Picard et al.
Consistency-Aware Online Multi-Objective Alignment for Related Search Query Generation
Shuxian Bi, Chongming Gao, Wenjie Wang et al.
Consistency-Aware Padding for Incomplete Multi-Modal Alignment Clustering Based on Self-Repellent Greedy Anchor Search
Shubin Ma, Liang Zhao, Mingdong Lu et al.
Consistency-aware Self-Training for Iterative-based Stereo Matching
Jingyi Zhou, Peng Ye, Haoyu Zhang et al.
ConsistencyChecker: Tree-based Evaluation of LLM Generalization Capabilities
Zhaochen Hong, Haofei Yu, Jiaxuan You
Consistency Checks for Language Model Forecasters
Daniel Paleka, Abhimanyu Pallavi Sudhir, Alejandro Alvarez et al.
Consistency is Key: Disentangling Label Variation in Natural Language Processing with Intra-Annotator Agreement
Gavin Abercrombie, Tanvi Dinkar, Amanda Cercas Curry et al.
Consistency Is the Key: Detecting Hallucinations in LLM Generated Text By Checking Inconsistencies About Key Facts
Raavi Gupta, Pranav Hari Panicker, Sumit Bhatia et al.