Ranking Large Language Models without Ground Truth
Comments Accepted to ACL 2024
期刊&会议
ACL
Annual Meeting of the Association for Computational Linguistics · 会议 · Natural Language Processing
Model Editing at Scale leads to Gradual and Catastrophic Forgetting
Comments ACL 2024 Findings
BloomVQA: Assessing Hierarchical Multi-modal Comprehension
Comments Accepted by ACL Findings (2024). Dataset available at https://huggingface.co/datasets/ygong/BloomVQA
MaskLID: Code-Switching Language Identification through Iterative Masking
Comments ACL 2024
Building Bridges: A Dataset for Evaluating Gender-Fair Machine Translation into German
Comments Accepted to Findings of ACL 2024. Code and data at https://github.com/g8a9/building-bridges-gender-fair-german-mt
Comparing Data Augmentation Methods for End-to-End Task-Oriented Dialog Systems
Comments There are 25 pages in total, 23 tables, 18 figures. Accepted in ACL 2024
StreamAtt: Direct Streaming Speech-to-Text Translation with Attention-based Audio History Selection
Comments Accepted at ACL 2024 main conference
Efficient k-Nearest-Neighbor Machine Translation with Dynamic Retrieval
Comments Accepted to ACL 2024 Findings
A Multidimensional Framework for Evaluating Lexical Semantic Change with Social Science Applications
Comments Accepted to the Proceedings of the Association for Computational Linguistics (ACL), 2024. Copyright c 2020 Association for Computational Linguistics (ACL). All Rights Reserved
HOLMES: Hyper-Relational Knowledge Graphs for Multi-hop Question Answering using LLMs
Comments Accepted at ACL 2024 in the main track
Shoulders of Giants: A Look at the Degree and Utility of Openness in NLP Research
Comments Will appear in ACL 2024
FLEUR: An Explainable Reference-Free Evaluation Metric for Image Captioning Using a Large Multimodal Model
Comments Accepted at ACL (Main) 2024
Why Don't Prompt-Based Fairness Metrics Correlate?
Comments In Proceedings of ACL main 2024
TTM-RE: Memory-Augmented Document-Level Relation Extraction
Comments Accepted in ACL 2024 Main
Whose Preferences? Differences in Fairness Preferences and Their Impact on the Fairness of AI Utilizing Human Feedback
Comments To appear in the Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics, ACL 2024
STARLING: Self-supervised Training of Text-based Reinforcement Learning Agent with Large Language Models
Comments ACL 2024 (Findings)
MedREQAL: Examining Medical Knowledge Recall of Large Language Models via Question Answering
Comments Accepted to ACL 2024 (Findings)
Arabic Diacritics in the Wild: Exploiting Opportunities for Improved Diacritization
Comments Accepted to ACL 2024
EmbSpatial-Bench: Benchmarking Spatial Understanding for Embodied Tasks with Large Vision-Language Models
Comments Accepted by ACL 2024 Main
MoPS: Modular Story Premise Synthesis for Open-Ended Automatic Story Generation
Comments ACL 2024, camera-ready
GrowOVER: How Can LLMs Adapt to Growing Real-World Knowledge?
Comments ACL 2024 Main
Planning Like Human: A Dual-process Framework for Dialogue Planning
Comments 24 pages, 5 figures, ACL 2024 main conference
Teaching-Assistant-in-the-Loop: Improving Knowledge Distillation from Imperfect Teacher Models in Low-Budget Scenarios
Comments Accepted by ACL 2024 Findings
Generative Explore-Exploit: Training-free Optimization of Generative Recommender Systems using LLM Optimizers
Comments Accepted at ACL 2024 Main Proceedings
American Sign Language Handshapes Reflect Pressures for Communicative Efficiency
Comments Accepted to ACL 2024
SMR: State Memory Replay for Long Sequence Modeling
Journal ref Findings of the Association for Computational Linguistics, 2024
CPsyCoun: A Report-based Multi-turn Dialogue Reconstruction and Evaluation Framework for Chinese Psychological Counseling
Comments Appectped to Findings of ACL2024
An Entropy-based Text Watermarking Detection Method
Comments 9 pages,6 tables, 5 figures, accepted to ACL 2024 main
ProgGen: Generating Named Entity Recognition Datasets Step-by-step with Self-Reflexive Large Language Models
Comments Accepted to ACL 2024 Findings
Pearl: A Review-driven Persona-Knowledge Grounded Conversational Recommendation Dataset
Comments Published at ACL 2024 Findings
