Papers
CompassVerifier: A Unified and Robust Verifier for LLMs Evaluation and Outcome Reward
Shudong Liu, Hongwei Liu, Junnan Liu et al.
CompKBQA: Component-wise Task Decomposition for Knowledge Base Question Answering
Yuhang Tian, Dandan Song, Zhijing Wu et al.
Complex Numerical Reasoning with Numerical Semantic Pre-training Framework
Jun Zhang, Haihong E, Tianyi Hu et al.
ComplexTempQA: A 100m Dataset for Complex Temporal Question Answering
Raphael Gruber, Abdelrahman Abdallah, Michael Färber et al.
Composable Cross-prompt Essay Scoring by Merging Models
Sanwoo Lee, Kun Liang, Yunfang Wu
Compositional Generalisation for Explainable Hate Speech Detection
Agostina Calabrese, Tom Sherborne, Björn Ross et al.
Compositional Translation: A Novel LLM-based Approach for Low-resource Machine Translation
Armel Randy Zebaze, Benoît Sagot, Rachel Bawden
Compound AI Systems Optimization: A Survey of Methods, Challenges, and Future Directions
Yu-Ang Lee, Guan-Ting Yi, Mei-Yi Liu et al.
Comprehensive and Efficient Distillation for Lightweight Sentiment Analysis Models
Guangyu Xie, Yice Zhang, Jianzhu Bao et al.
Comprehensive Evaluation on Lexical Normalization: Boundary-Aware Approaches for Unsegmented Languages
Shohei Higashiyama, Masao Utiyama
Computational Analysis of Character Development in Holocaust Testimonies
Esther Shizgal, Eitan Wagner, Renana Keydar et al.
Computational Analysis of Conversation Dynamics through Participant Responsivity
Margaret Hughes, Brandon Roy, Elinor Poole-Dayan et al.
Computational Blueprints: Generating Isomorphic Mathematics Problems with Large Language Models
Jeong-Hoon Kim, Jinwoo Nam, Geunsik Jo
Conan-Embedding-v2: Training an LLM from Scratch for Text Embeddings
Shiyu Li, Yang Tang, Ruijie Liu et al.
Concept-pedia: a Wide-coverage Semantically-annotated Multimodal Dataset
Karim Ghonim, Andrei Stefan Bejgu, Alberte Fernández-Castro et al.
ConCISE: Confidence-guided Compression in Step-by-step Efficient Reasoning
Ziqing Qiao, Yongheng Deng, Jiali Zeng et al.
ConciseRL: Conciseness-Guided Reinforcement Learning for Efficient Reasoning Models
Razvan-Gabriel Dumitru, Darius Peteleaza, Vikas Yadav et al.
CondAmbigQA: A Benchmark and Dataset for Conditional Ambiguous Question Answering
Zongxi Li, Yang Li, Haoran Xie et al.
CondenseLM: LLMs-driven Text Dataset Condensation via Reward Matching
Cheng Shen, Yew-Soon Ong, Joey Tianyi Zhou
Conditional [MASK] Discrete Diffusion Language Model
Hyukhun Koh, Minha Jhang, Dohyung Kim et al.
Conditions for Catastrophic Forgetting in Multilingual Translation
Danni Liu, Jan Niehues
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-guided Refinement Reasoning for Zero-shot Question Answering
Youwon Jang, Woo Suk Choi, Minjoon Jung et al.