Deja vu: Contrastive Historical Modeling with Prefix-tuning for Temporal Knowledge Graph Reasoning
Comments Accepted to NAACL 2024 Findings
期刊&会议
NAACL
North American Chapter of the Association for Computational Linguistics · 会议 · Natural Language Processing
Multi-Review Fusion-in-Context
Comments NAACL 2024, findings
MT-PATCHER: Selective and Extendable Knowledge Distillation from Large Language Models for Machine Translation
Comments Accepted to NAACL-2024 main conference
TofuEval: Evaluating Hallucinations of LLMs on Topic-Focused Dialogue Summarization
Comments NAACL 2024; Linguistic annotations available at https://github.com/amazon-science/tofueval
TelME: Teacher-leading Multimodal Fusion Network for Emotion Recognition in Conversation
Comments NAACL 2024 main conference
Named Entity Recognition Under Domain Shift via Metric Learning for Life Sciences
Comments 21 pages; Accepted by the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies; Code, data, and resources are publicly available for research purposes: https://github.com/Lhtie/Bio-Domain-Transfer
Promptly Predicting Structures: The Return of Inference
Comments 19 pages, 13 figures Accepted to NAACL'2024 (Main)
LLM-as-a-Coauthor: Can Mixed Human-Written and Machine-Generated Text Be Detected?
Comments Accepted by NAACL 2024
ARES: An Automated Evaluation Framework for Retrieval-Augmented Generation Systems
Comments NAACL 2024
Identifying Linear Relational Concepts in Large Language Models
Comments To be published in NAACL 2024
Safer-Instruct: Aligning Language Models with Automated Preference Data
Comments 16 pages. NAACL 2024 Camera-ready
Low-Rank Adaptation for Multilingual Summarization: An Empirical Study
Comments Findings of NAACL 2024
Fair Abstractive Summarization of Diverse Perspectives
Comments NAACL 2024
In-context Learning and Gradient Descent Revisited
Comments Accepted to NAACL 2024 main conference
Fake Alignment: Are LLMs Really Aligned Well?
Comments Accepted to the NAACL 2024
Teaching Language Models to Self-Improve through Interactive Demonstrations
Comments NAACL 2024 main
Composite Backdoor Attacks Against Large Language Models
Comments To Appear in Findings of the Association for Computational Linguistics: NAACL 2024, June 2024
Knowledgeable In-Context Tuning: Exploring and Exploiting Factual Knowledge for In-Context Learning
Comments naacl 2024
Are Multilingual LLMs Culturally-Diverse Reasoners? An Investigation into Multicultural Proverbs and Sayings
Comments NAACL
Self-Adaptive Sampling for Efficient Video Question-Answering on Image--Text Models
Comments 13 pages, 7 figures, accepted to Findings of NAACL 2024
Citation: A Key to Building Responsible and Accountable Large Language Models
Comments NAACL 2024 Findings
Self-Checker: Plug-and-Play Modules for Fact-Checking with Large Language Models
Comments Accepted by NAACL 2024 Findings
When Does Monolingual Data Help Multilingual Translation: The Role of Domain and Model Scale
Comments Accepted to NAACL 2024 (Main conference)
Tram: A Token-level Retrieval-augmented Mechanism for Source Code Summarization
Comments NAACL 2024 Findings
Low-code LLM: Graphical User Interface over Large Language Models
Comments Accepted as a Demo Track paper at NAACL 2024
Emotion-Anchored Contrastive Learning Framework for Emotion Recognition in Conversation
Comments Accepted by Findings of NAACL 2024
NLP for Counterspeech against Hate: A Survey and How-To Guide
Comments To appear in Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics (findings)
Enhancing the General Agent Capabilities of Low-Parameter LLMs through Tuning and Multi-Branch Reasoning
Comments To appear at NAACL 2024
Defending Against Weight-Poisoning Backdoor Attacks for Parameter-Efficient Fine-Tuning
Comments NAACL Findings 2024
PEMA: An Offsite-Tunable Plug-in External Memory Adaptation for Language Models
Comments Accepted to NAACL 2024
