What the Harm? Quantifying the Tangible Impact of Gender Bias in Machine Translation with a Human-centered Study
Comments Accepted ad EMNLP 2024
期刊&会议
EMNLP
Conference on Empirical Methods in Natural Language Processing · 会议 · Natural Language Processing
Beyond Persuasion: Towards Conversational Recommender System with Credible Explanations
Comments Findings of EMNLP 2024. Our code is available at https://github.com/mumen798/PC-CRS
Adaptive Contrastive Decoding in Retrieval-Augmented Generation for Handling Noisy Contexts
Comments EMNLP 2024 Findings
CMR Scaling Law: Predicting Critical Mixture Ratios for Continual Pre-training of Language Models
Comments EMNLP 2024 main conference
DYNAMICQA: Tracing Internal Knowledge Conflicts in Language Models
Comments 15 pages, 6 figures, Accepted to Findings of EMNLP 2024
Counter Turing Test ($CT^2$): Investigating AI-Generated Text Detection for Hindi -- Ranking LLMs based on Hindi AI Detectability Index ($ADI_{hi}$)
Comments Accepted at EMNLP 2024 Findings
A Comparison of Language Modeling and Translation as Multilingual Pretraining Objectives
Comments Proceedings of EMNLP 2024
Fine-Tuning and Prompt Optimization: Two Great Steps that Work Better Together
Comments EMNLP 2024
Cactus: Towards Psychological Counseling Conversations using Cognitive Behavioral Theory
Comments Published at EMNLP 2024 Findings
To Forget or Not? Towards Practical Knowledge Unlearning for Large Language Models
Comments EMNLP 2024 Findings; Code and dataset are released at https://github.com/zjunlp/KnowUnDo
SignCLIP: Connecting Text and Sign Language by Contrastive Learning
Comments Accepted at EMNLP 2024 (Main)
Detection and Measurement of Syntactic Templates in Generated Text
Comments EMNLP 2024
Unlocking Continual Learning Abilities in Language Models
Comments EMNLP 2024 Findings
Multi-LogiEval: Towards Evaluating Multi-Step Logical Reasoning Ability of Large Language Models
Comments Accepted at EMNLP 2024 Main
First Heuristic Then Rational: Dynamic Use of Heuristics in Language Model Reasoning
Comments This paper is accepted at EMNLP 2024
When Parts Are Greater Than Sums: Individual LLM Components Can Outperform Full Models
Comments EMNLP 2024
mDPO: Conditional Preference Optimization for Multimodal Large Language Models
Comments Accepted to EMNLP 2024 Main Conference. Project website: https://feiwang96.github.io/mDPO
On Efficient Language and Vision Assistants for Visually-Situated Natural Language Understanding: What Matters in Reading and Reasoning
Comments EMNLP 2024 Main
Optimizing Instructions and Demonstrations for Multi-Stage Language Model Programs
Comments EMNLP 2024. Krista and Michael contributed equally to this work
Pcc-tuning: Breaking the Contrastive Learning Ceiling in Semantic Textual Similarity
Comments Accepted by EMNLP 2024 (Main)
Annotation alignment: Comparing LLM and human annotations of conversational safety
Comments EMNLP 2024 (Main). Main text contains 6 pages, 2 figures
Advancing Semantic Textual Similarity Modeling: A Regression Framework with Translated ReLU and Smooth K2 Loss
Comments Accepted by EMNLP 2024 (Main)
Generate-on-Graph: Treat LLM as both Agent and KG in Incomplete Knowledge Graph Question Answering
Comments Accepted by EMNLP 2024 Main
Characterizing LLM Abstention Behavior in Science QA with Context Perturbations
Comments EMNLP 2024 Findings
Evalverse: Unified and Accessible Library for Large Language Model Evaluation
Comments Accepted to EMNLP 2024 Demo Track
Editing Conceptual Knowledge for Large Language Models
Comments EMNLP 2024 Findings; Code: https://github.com/zjunlp/EasyEdit Dataset: https://huggingface.co/datasets/zjunlp/ConceptEdit
FAC$^2$E: Better Understanding Large Language Model Capabilities by Dissociating Language and Cognition
Comments Accepted at EMNLP 2024 main conference
Tokenization Is More Than Compression
Comments EMNLP 2024
Unraveling Babel: Exploring Multilingual Activation Patterns of LLMs and Their Applications
Comments Accepted to EMNLP 2024 Main Conference
A Usage-centric Take on Intent Understanding in E-Commerce
Comments Acepted by EMNLP 2024 main
