Papers
Context-aware Watermark with Semantic Balanced Green-red Lists for Large Language Models
Yuxuan Guo, Zhiliang Tian, Yiping Song et al.
Context-Driven Index Trimming: A Data Quality Perspective to Enhancing Precision of RALMs
Kexin Ma, Ruochun Jin, Wang Haotian et al.
Context Matters: Pushing the Boundaries of Open-Ended Answer Generation with Graph-Structured Knowledge Context
Somnath Banerjee, Amruit Sahoo, Sayan Layek et al.
Contextualized Graph Representations for Generating Counter-Narratives against Hate Speech
Selene Baez Santamaria, Helena Gomez Adorno, Ilia Markov
Contextualized Sequence Likelihood: Enhanced Confidence Scores for Natural Language Generation
Zhen Lin, Shubhendu Trivedi, Jimeng Sun
Continual Test-time Adaptation for End-to-end Speech Recognition on Noisy Speech
Guan-Ting Lin, Wei Ping Huang, Hung-yi Lee
Continuous Attentive Multimodal Prompt Tuning for Few-Shot Multimodal Sarcasm Detection
Soumyadeep Jana, Animesh Dey, Ranbir Singh Sanasam
CONTOR: Benchmarking Strategies for Completing Ontologies with Plausible Missing Rules
Na Li, Thomas Bailleux, Zied Bouraoui et al.
Contrastive Entity Coreference and Disambiguation for Historical Texts
Abhishek Arora, Emily Silcock, Melissa Dell et al.
Contrastive Learning to Improve Retrieval for Real-World Fact Checking
Aniruddh Sriram, Fangyuan Xu, Eunsol Choi et al.
Contrastive Policy Gradient: Aligning LLMs on sequence-level scores in a supervised-friendly fashion
Yannis Flet-Berliac, Nathan Grinsztajn, Florian Strub et al.
Contrastive Token Learning with Similarity Decay for Repetition Suppression in Machine Translation
Huangyu Dai, Ben Chen, Kaidi Chen et al.
ConTReGen: Context-driven Tree-structured Retrieval for Open-domain Long-form Text Generation
Kashob Kumar Roy, Pritom Saha Akash, Kevin Chen-Chuan Chang et al.
Contribution of Linguistic Typology to Universal Dependency Parsing: An Empirical Investigation
Ali Basirat, Navid Baradaran Hemmati
Controllable Preference Optimization: Toward Controllable Multi-Objective Alignment
Yiju Guo, Ganqu Cui, Lifan Yuan et al.
Control Large Language Models via Divide and Conquer
Bingxuan Li, Yiwei Wang, Tao Meng et al.
Controlled Transformation of Text-Attributed Graphs
Nidhi Vakil, Hadi Amiri
Controlling Risk of Retrieval-augmented Generation: A Counterfactual Prompting Framework
Lu Chen, Ruqing Zhang, Jiafeng Guo et al.
ControlMath: Controllable Data Generation Promotes Math Generalist Models
Nuo Chen, Ning Wu, Jianhui Chang et al.
ConU: Conformal Uncertainty in Large Language Models with Correctness Coverage Guarantees
Zhiyuan Wang, Jinhao Duan, Lu Cheng et al.
ConvKGYarn: Spinning Configurable and Scalable Conversational Knowledge Graph QA Datasets with Large Language Models
Ronak Pradeep, Daniel Lee, Ali Mousavi et al.
CopyBench: Measuring Literal and Non-Literal Reproduction of Copyright-Protected Text in Language Model Generation
Tong Chen, Akari Asai, Niloofar Mireshghallah et al.
Copy Suppression: Comprehensively Understanding a Motif in Language Model Attention Heads
Callum Stuart McDougall, Arthur Conmy, Cody Rushing et al.
Correcting FLORES Evaluation Dataset for Four African Languages
Idris Abdulmumin, Sthembiso Mkhwanazi, Mahlatse Mbooi et al.