Skip to content
conftrace_

Papers (including subtopics)

Large Language Models Fall Short: Understanding Complex Relationships in Detective Narratives ACL 2024 Large Language Models for Biomedical Knowledge Graph Construction: Information extraction from EMR notes ACL 2024 Large Language Models for Generative Recommendation: A Survey and Visionary Discussions COLING 2024 Large Language Models for Propaganda Span Annotation EMNLP 2024 Large Language Models for Scientific Information Extraction: An Empirical Study for Virology EACL 2024 Large Language Models-guided Dynamic Adaptation for Temporal Knowledge Graph Reasoning NeurIPS 2024 Large Language Models Help Humans Verify Truthfulness – Except When They Are Convincingly Wrong NAACL 2024 Large Language Models Know What is Key Visual Entity: An LLM-assisted Multimodal Retrieval for VQA EMNLP 2024 Large Language Models Provide Human-Level Medical Text Snippet Labeling NAACL 2024 Large Language Models Sensitivity to The Order of Options in Multiple-Choice Questions NAACL 2024 Large language model validity via enhanced conformal prediction methods NeurIPS 2024 Large Scale Narrative Messaging around Climate Change: A Cross-Cultural Comparison ACL 2024 LastResort at SemEval-2024 Task 3: Exploring Multimodal Emotion Cause Pair Extraction as Sequence Labelling Task SemEval 2024 Latent vs Explicit Knowledge Representation: How ChatGPT Answers Questions about Low-Frequency Entities COLING 2024 LatestEval: Addressing Data Contamination in Language Model Evaluation through Dynamic and Time-Sensitive Test Construction AAAI 2024 LA-UCL: LLM-Augmented Unsupervised Contrastive Learning Framework for Few-Shot Text Classification COLING 2024 LawBench: Benchmarking Legal Knowledge of Large Language Models EMNLP 2024 LayoutFormer: Hierarchical Text Detection Towards Scene Text Understanding CVPR 2024 LayoutLLM: Layout Instruction Tuning with Large Language Models for Document Understanding CVPR 2024 LayoutPointer: A Spatial-Context Adaptive Pointer Network for Visual Information Extraction NAACL 2024 LC4EE: LLMs as Good Corrector for Event Extraction ACL 2024 LCS: A Language Converter Strategy for Zero-Shot Neural Machine Translation ACL 2024 Leak, Cheat, Repeat: Data Contamination and Evaluation Malpractices in Closed-Source LLMs EACL 2024 Learning from Imperfect Data: Towards Efficient Knowledge Distillation of Autoregressive Language Models for Text-to-SQL EMNLP 2024 Learning from Implicit User Feedback, Emotions and Demographic Information in Task-Oriented and Document-Grounded Dialogues EMNLP 2024