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Papers
Confidence Under the Hood: An Investigation into the Confidence-Probability Alignment in Large Language Models
ACL 2024
Conformity, Confabulation, and Impersonation: Persona Inconstancy in Multi-Agent LLM Collaboration
ACL 2024
Confronting LLMs with Traditional ML: Rethinking the Fairness of Large Language Models in Tabular Classifications
NAACL 2024
Confucius: Iterative Tool Learning from Introspection Feedback by Easy-to-Difficult Curriculum
AAAI 2024
Connecting Large Language Models with Evolutionary Algorithms Yields Powerful Prompt Optimizers
ICLR 2024
Connecting the Dots: Evaluating Abstract Reasoning Capabilities of LLMs Using the New York Times Connections Word Game
EMNLP 2024
Connecting the Dots: LLMs can Infer and Verbalize Latent Structure from Disparate Training Data
NeurIPS 2024
ConSiDERS-The-Human Evaluation Framework: Rethinking Human Evaluation for Generative Large Language Models
ACL 2024
Consistent Autoformalization for Constructing Mathematical Libraries
EMNLP 2024
ConsistNER: Towards Instructive NER Demonstrations for LLMs with the Consistency of Ontology and Context
AAAI 2024
Consolidating Ranking and Relevance Predictions of Large Language Models through Post-Processing
EMNLP 2024
ConStat: Performance-Based Contamination Detection in Large Language Models
NeurIPS 2024
Constrained Human-AI Cooperation: An Inclusive Embodied Social Intelligence Challenge
NeurIPS 2024
ConstraintChecker: A Plugin for Large Language Models to Reason on Commonsense Knowledge Bases
EACL 2024
Constructing a Knowledge-Guided Mental Health Chatbot with LLMs
ACML 2024
Construction and Application of Materials Knowledge Graph in Multidisciplinary Materials Science via Large Language Model
NeurIPS 2024
Construction of a Japanese Financial Benchmark for Large Language Models
COLING 2024
Constructions Are So Difficult That Even Large Language Models Get Them Right for the Wrong Reasons
COLING 2024
Context Aggregation with Topic-focused Summarization for Personalized Medical Dialogue Generation
NAACL 2024
Context-aware and Style-related Incremental Decoding Framework for Discourse-Level Literary Translation
EMNLP 2024
Context-Aware Assistant Selection for Improved Inference Acceleration with Large Language Models
EMNLP 2024
Context-Aware LLM Translation System Using Conversation Summarization and Dialogue History
EMNLP 2024
Context-aware Watermark with Semantic Balanced Green-red Lists for Large Language Models
EMNLP 2024
Context-Driven Index Trimming: A Data Quality Perspective to Enhancing Precision of RALMs
EMNLP 2024
Context Matters: Pushing the Boundaries of Open-Ended Answer Generation with Graph-Structured Knowledge Context
EMNLP 2024