Seq2seq is All You Need for Coreference Resolution
Comments EMNLP 2023
期刊&会议
EMNLP
Conference on Empirical Methods in Natural Language Processing · 会议 · Natural Language Processing
Copyright Violations and Large Language Models
Comments EMNLP 2023
ALDi: Quantifying the Arabic Level of Dialectness of Text
Comments Accepted to EMNLP 2023
Improving Question Generation with Multi-level Content Planning
Comments Camera-ready. Accepted by EMNLP 2023 Findings
A Predictive Factor Analysis of Social Biases and Task-Performance in Pretrained Masked Language Models
Comments Accepted to EMNLP 2023 main conference
Pretraining Language Models with Text-Attributed Heterogeneous Graphs
Comments Accepted by EMNLP 2023 Findings
Improving Long Document Topic Segmentation Models With Enhanced Coherence Modeling
Comments Accepted by EMNLP 2023. Codes is available at https://github.com/alibaba-damo-academy/SpokenNLP/
Dialogue Chain-of-Thought Distillation for Commonsense-aware Conversational Agents
Comments 25 pages, 8 figures, Accepted to EMNLP 2023
"A Tale of Two Movements": Identifying and Comparing Perspectives in #BlackLivesMatter and #BlueLivesMatter Movements-related Tweets using Weakly Supervised Graph-based Structured Prediction
Comments Findings of EMNLP 2023 (Camera Ready)
Crossing the Threshold: Idiomatic Machine Translation through Retrieval Augmentation and Loss Weighting
Comments EMNLP 2023
Improving Contrastive Learning of Sentence Embeddings with Focal-InfoNCE
Comments Findings of emnlp 2023
Rethinking Model Selection and Decoding for Keyphrase Generation with Pre-trained Sequence-to-Sequence Models
Comments EMNLP 2023 camera ready
Large Language Models Only Pass Primary School Exams in Indonesia: A Comprehensive Test on IndoMMLU
Comments Accepted at EMNLP 2023
One Wide Feedforward is All You Need
Comments Accepted at WMT23 (EMNLP 2023)
Not wacky vs. definitely wacky: A study of scalar adverbs in pretrained language models
Comments Published in BlackBoxNLP workshop, EMNLP 2023
Segmented Recurrent Transformer: An Efficient Sequence-to-Sequence Model
Comments EMNLP 2023 Findings
Enhancing the Ranking Context of Dense Retrieval Methods through Reciprocal Nearest Neighbors
Comments EMNLP 2023
Meta-Learning Online Adaptation of Language Models
Comments EMNLP 2023 Camera Ready
ImageNetVC: Zero- and Few-Shot Visual Commonsense Evaluation on 1000 ImageNet Categories
Comments EMNLP 2023 Findings (Long Paper), camera-ready version
GPTAraEval: A Comprehensive Evaluation of ChatGPT on Arabic NLP
Comments EMNLP 2023 Main Conference
Universal Self-Adaptive Prompting
Comments EMNLP 2023 (Main). 10 pages, 5 figures, 4 tables (26 pages, 9 figures and 13 tables including references and appendices)
Evaluating Evaluation Metrics: A Framework for Analyzing NLG Evaluation Metrics using Measurement Theory
Comments EMNLP 2023
Bi-Drop: Enhancing Fine-tuning Generalization via Synchronous sub-net Estimation and Optimization
Comments EMNLP 2023 Findings. Camera-ready version. Co-first authors with equal contributions
You Are What You Annotate: Towards Better Models through Annotator Representations
Comments Accepted to Findings of EMNLP 2023
Sources of Hallucination by Large Language Models on Inference Tasks
Comments Findings of EMNLP 2023
Sociocultural Norm Similarities and Differences via Situational Alignment and Explainable Textual Entailment
Comments EMNLP 2023 Main Conference (Long Paper)
Dancing Between Success and Failure: Edit-level Simplification Evaluation using SALSA
Comments Accepted to EMNLP 2023
LLM-powered Data Augmentation for Enhanced Cross-lingual Performance
Comments EMNLP 2023 Main Conference
Pre-training Multi-task Contrastive Learning Models for Scientific Literature Understanding
Comments 17 pages; Accepted to Findings of EMNLP 2023 (Project Page: https://scimult.github.io/)
CTQScorer: Combining Multiple Features for In-context Example Selection for Machine Translation
Comments Accepted to EMNLP 2023 findings
