EMONA: Event-level Moral Opinions in News Articles
Comments Accepted to NAACL 2024
期刊&会议
NAACL
North American Chapter of the Association for Computational Linguistics · 会议 · Natural Language Processing
Polarity Calibration for Opinion Summarization
Comments Accepted to NAACL 2024
On the Role of Summary Content Units in Text Summarization Evaluation
Comments 10 Pages, 3 Figures, 3 Tables, camera ready version accepted at NAACL 2024
METAL: Towards Multilingual Meta-Evaluation
Comments Accepted to NAACL 2024 findings
Towards Better Generalization in Open-Domain Question Answering by Mitigating Context Memorization
Comments Accepted to NAACL 2024 Findings
NLP Systems That Can't Tell Use from Mention Censor Counterspeech, but Teaching the Distinction Helps
Comments NAACL 2024 (Main conference)
Hallucination Diversity-Aware Active Learning for Text Summarization
Comments Accepted to NAACL 2024
Set-Aligning Framework for Auto-Regressive Event Temporal Graph Generation
Comments Accepted to NAACL 2024. 9 + 10 pages
A Study on Scaling Up Multilingual News Framing Analysis
Comments accepted at NAACL 2024
Finding Replicable Human Evaluations via Stable Ranking Probability
Comments To appear at NAACL 2024
Efficiently Distilling LLMs for Edge Applications
Comments This paper has been accepted for publication in NAACL 2024 (Industry Track)
Open-Vocabulary Federated Learning with Multimodal Prototyping
Comments Accepted at NAACL 2024
MapGuide: A Simple yet Effective Method to Reconstruct Continuous Language from Brain Activities
Comments Accepted to NAACL 2024 main conference
Ignore Me But Don't Replace Me: Utilizing Non-Linguistic Elements for Pretraining on the Cybersecurity Domain
Comments To appear in NAACL Findings 2024
CASA: Causality-driven Argument Sufficiency Assessment
Comments Accepted by NAACL 2024 main conference. Project website: https://xxxiaol.github.io/CASA/
More Samples or More Prompts? Exploring Effective In-Context Sampling for LLM Few-Shot Prompt Engineering
Comments Accepted at NAACL 2024 Findings
You don't need a personality test to know these models are unreliable: Assessing the Reliability of Large Language Models on Psychometric Instruments
Comments Camera-ready version for NAACL 2024. First two authors contributed equally
On Retrieval Augmentation and the Limitations of Language Model Training
Comments Accepted to NAACL 2024
Efficient End-to-End Visual Document Understanding with Rationale Distillation
Comments Accepted by NAACL 2024
What if you said that differently?: How Explanation Formats Affect Human Feedback Efficacy and User Perception
Comments Accepted to NAACL 2024. Code & data available at https://github.com/chaitanyamalaviya/rationale_formats
How Trustworthy are Open-Source LLMs? An Assessment under Malicious Demonstrations Shows their Vulnerabilities
Comments NAACL 2024
Do Localization Methods Actually Localize Memorized Data in LLMs? A Tale of Two Benchmarks
Comments accepted by NAACL 2024
Semi-Structured Chain-of-Thought: Integrating Multiple Sources of Knowledge for Improved Language Model Reasoning
Comments NAACL 2024 main conference
The taste of IPA: Towards open-vocabulary keyword spotting and forced alignment in any language
Comments NAACL 2024 Main Conference
Principles from Clinical Research for NLP Model Generalization
Comments Accepted to NAACL 2024
TopicGPT: A Prompt-based Topic Modeling Framework
Comments Accepted to NAACL 2024 (Main conference)
MCAD: Multi-teacher Cross-modal Alignment Distillation for efficient image-text retrieval
Comments Accepted by NAACL 2024 Findings
Beyond Yes and No: Improving Zero-Shot LLM Rankers via Scoring Fine-Grained Relevance Labels
Comments NAACL 2024; 13 pages
Large Language Models Help Humans Verify Truthfulness -- Except When They Are Convincingly Wrong
Comments NAACL 2024
GPT-Fathom: Benchmarking Large Language Models to Decipher the Evolutionary Path towards GPT-4 and Beyond
Comments Accepted by NAACL 2024
