"large language models" Papers
986 papers found • Page 3 of 20
Conference
Can LLMs Understand Time Series Anomalies?
Zihao Zhou, Rose Yu
Can Watermarked LLMs be Identified by Users via Crafted Prompts?
Aiwei Liu, Sheng Guan, Yiming Liu et al.
Can We Infer Confidential Properties of Training Data from LLMs?
Pengrun Huang, Chhavi Yadav, Kamalika Chaudhuri et al.
Capturing Polysemanticity with PRISM: A Multi-Concept Feature Description Framework
Laura Kopf, Nils Feldhus, Kirill Bykov et al.
CASCADE Your Datasets for Cross-Mode Knowledge Retrieval of Language Models
Runlong Zhou, Yi Zhang
Catastrophic Failure of LLM Unlearning via Quantization
Zhiwei Zhang, Fali Wang, Xiaomin Li et al.
Causally Motivated Sycophancy Mitigation for Large Language Models
Haoxi Li, Xueyang Tang, Jie ZHANG et al.
Causal Reasoning and Large Language Models: Opening a New Frontier for Causality
Chenhao Tan, Robert Ness, Amit Sharma et al.
CCL: Causal-aware In-context Learning for Out-of-Distribution Generalization
Hoyoon Byun, Gyeongdeok Seo, Joonseong Kang et al.
CDW-CoT: Clustered Distance-Weighted Chain-of-Thoughts Reasoning
Yuanheng Fang, Guoqing Chao, Wenqiang Lei et al.
CEB: Compositional Evaluation Benchmark for Fairness in Large Language Models
Song Wang, Peng Wang, Tong Zhou et al.
CellVerse: Do Large Language Models Really Understand Cell Biology?
Fan Zhang, Tianyu Liu, Zhihong Zhu et al.
Certifying Counterfactual Bias in LLMs
Isha Chaudhary, Qian Hu, Manoj Kumar et al.
Chain of Execution Supervision Promotes General Reasoning in Large Language Models
Nuo Chen, Zehua Li, Keqin Bao et al.
CHASE-SQL: Multi-Path Reasoning and Preference Optimized Candidate Selection in Text-to-SQL
Mohammadreza Pourreza, Hailong Li, Ruoxi Sun et al.
ChatHuman: Chatting about 3D Humans with Tools
Jing Lin, Yao Feng, Weiyang Liu et al.
ChatQA 2: Bridging the Gap to Proprietary LLMs in Long Context and RAG Capabilities
Peng Xu, Wei Ping, Xianchao Wu et al.
ChatTime: A Unified Multimodal Time Series Foundation Model Bridging Numerical and Textual Data
Chengsen Wang, Qi Qi, Jingyu Wang et al.
ChemAgent: Self-updating Memories in Large Language Models Improves Chemical Reasoning
Xiangru Tang, Tianyu Hu, Muyang Ye et al.
CIDD: Collaborative Intelligence for Structure-Based Drug Design Empowered by LLMs
Bowen Gao, Yanwen Huang, Yiqiao Liu et al.
CITI: Enhancing Tool Utilizing Ability in Large Language Models Without Sacrificing General Performance
Yupu Hao, Pengfei Cao, Zhuoran Jin et al.
Classical Planning with LLM-Generated Heuristics: Challenging the State of the Art with Python Code
Augusto B. Corrêa, André G. Pereira, Jendrik Seipp
Classifier-to-Bias: Toward Unsupervised Automatic Bias Detection for Visual Classifiers
Quentin Guimard, Moreno D'Incà, Massimiliano Mancini et al.
CL-Attack: Textual Backdoor Attacks via Cross-Lingual Triggers
Jingyi Zheng, Tianyi Hu, Tianshuo Cong et al.
CLAWS:Creativity detection for LLM-generated solutions using Attention Window of Sections
Keuntae Kim, Eunhye Jeong, Sehyeon Lee et al.
ClimaQA: An Automated Evaluation Framework for Climate Question Answering Models
Veeramakali Vignesh Manivannan, Yasaman Jafari, Srikar Eranky et al.
ClinBench: A Standardized Multi-Domain Framework for Evaluating Large Language Models in Clinical Information Extraction
Ismael Villanueva Miranda, Zifan Gu, Donghan Yang et al.
CLNX: Bridging Code and Natural Language for C/C++ Vulnerability-Contributing Commits Identification
Zeqing Qin, Yiwei Wu, Lansheng Han
CMT: A Memory Compression Method for Continual Knowledge Learning of Large Language Models
Dongfang Li, Zetian Sun, Xinshuo Hu et al.
CofCA: A STEP-WISE Counterfactual Multi-hop QA benchmark
Jian Wu, Linyi Yang, Zhen Wang et al.
CollabEdit: Towards Non-destructive Collaborative Knowledge Editing
Jiamu Zheng, Jinghuai Zhang, Tianyu Du et al.
CollabLLM: From Passive Responders to Active Collaborators
Shirley Wu, Michel Galley, Baolin Peng et al.
Competing Large Language Models in Multi-Agent Gaming Environments
Jen-Tse Huang, Eric John Li, Man Ho LAM et al.
Computation and Memory-Efficient Model Compression with Gradient Reweighting
Zhiwei Li, Yuesen Liao, Binrui Wu et al.
Concept-Guided Interpretability via Neural Chunking
Shuchen Wu, Stephan Alaniz, Shyamgopal Karthik et al.
Concept Incongruence: An Exploration of Time and Death in Role Playing
Xiaoyan Bai, Ike Peng, Aditya Singh et al.
Concept Matching with Agent for Out-of-Distribution Detection
Yuxiao Lee, Xiaofeng Cao, Jingcai Guo et al.
Conditional Representation Learning for Customized Tasks
Honglin Liu, Chao Sun, Peng Hu 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
Conflict-Aware Knowledge Editing in the Wild: Semantic-Augmented Graph Representation for Unstructured Text
Zhange Zhang, Zhicheng Geng, Yuqing Ma et al.
ConfTuner: Training Large Language Models to Express Their Confidence Verbally
Yibo Li, Miao Xiong, Jiaying Wu et al.
Context-Parametric Inversion: Why Instruction Finetuning May Not Actually Improve Context Reliance
Sachin Goyal, Christina Baek, Zico Kolter et al.
Context Steering: Controllable Personalization at Inference Time
Zhiyang He, Sashrika Pandey, Mariah Schrum et al.
ConTextTab: A Semantics-Aware Tabular In-Context Learner
Marco Spinaci, Marek Polewczyk, Maximilian Schambach et al.
Contextualizing biological perturbation experiments through language
Menghua (Rachel) Wu, Russell Littman, Jacob Levine et al.
Controllable Safety Alignment: Inference-Time Adaptation to Diverse Safety Requirements
Jingyu Zhang, Ahmed Elgohary Ghoneim, Ahmed Magooda et al.
Controlling Language and Diffusion Models by Transporting Activations
Pau Rodriguez, Arno Blaas, Michal Klein et al.
Controlling Large Language Models Through Concept Activation Vectors
Hanyu Zhang, Xiting Wang, Chengao Li et al.
CoP: Agentic Red-teaming for Large Language Models using Composition of Principles
Chen Xiong, Pin-Yu Chen, Tsung-Yi Ho