EMNLP 2023

2,732 papers

Editing Large Language Models: Problems, Methods, and Opportunities

Yunzhi Yao, Peng Wang, Bozhong Tian, Siyuan Cheng, Zhoubo Li

Contrastive Learning for Inference in Dialogue

Etsuko Ishii, Yan Xu, Bryan Wilie, Ziwei Ji, Holy Lovenia

SAMRank: Unsupervised Keyphrase Extraction using Self-Attention Map in BERT and GPT-2

Byungha Kang, Youhyun Shin

APoLLo : Unified Adapter and Prompt Learning for Vision Language Models

Sanjoy Chowdhury, Sayan Nag, Dinesh Manocha

Text Rendering Strategies for Pixel Language Models

Jonas Lotz, Elizabeth Salesky, Phillip Rust, Desmond Elliott

PromptST: Abstract Prompt Learning for End-to-End Speech Translation

Tengfei Yu, Liang Ding, Xuebo Liu, Kehai Chen, Meishan Zhang

Appraising the Potential Uses and Harms of LLMs for Medical Systematic Reviews

Hye Yun, Iain Marshall, Thomas Trikalinos, Byron Wallace

Make Every Example Count: On the Stability and Utility of Self-Influence for Learning from Noisy NLP Datasets

Irina Bejan, Artem Sokolov, Katja Filippova

Transformer-based Live Update Generation for Soccer Matches from Microblog Posts

Masashi Oshika, Kosuke Yamada, Ryohei Sasano, Koichi Takeda

Expand, Highlight, Generate: RL-driven Document Generation for Passage Reranking

Arian Askari, Mohammad Aliannejadi, Chuan Meng, Evangelos Kanoulas, Suzan Verberne

ReCEval: Evaluating Reasoning Chains via Correctness and Informativeness

Archiki Prasad, Swarnadeep Saha, Xiang Zhou, Mohit Bansal

Rethinking the Evaluation for Conversational Recommendation in the Era of Large Language Models

Xiaolei Wang, Xinyu Tang, Xin Zhao, Jingyuan Wang, Ji-Rong Wen

Instruct and Extract: Instruction Tuning for On-Demand Information Extraction

Yizhu Jiao, Ming Zhong, Sha Li, Ruining Zhao, Siru Ouyang

Reducing Sequence Length by Predicting Edit Spans with Large Language Models

Masahiro Kaneko, Naoaki Okazaki

Whispering LLaMA: A Cross-Modal Generative Error Correction Framework for Speech Recognition

Srijith Radhakrishnan, Chao-Han Huck Yang, Sumeer Ahmad Khan, Rohit Kumar, Narsis A. Kiani

Revisiting Block-based Quantisation: What is Important for Sub-8-bit LLM Inference?

Cheng Zhang, Jianyi Cheng, Ilia Shumailov, George Constantinides, Yiren Zhao

MULTITuDE: Large-Scale Multilingual Machine-Generated Text Detection Benchmark

Dominik Macko, Robert Moro, Adaku Uchendu, Jason Lucas, Michiharu Yamashita

Characterizing Mechanisms for Factual Recall in Language Models

Qinan Yu, Jack Merullo, Ellie Pavlick

Do All Languages Cost the Same? Tokenization in the Era of Commercial Language Models

Orevaoghene Ahia, Sachin Kumar, Hila Gonen, Jungo Kasai, David Mortensen

MultiTurnCleanup: A Benchmark for Multi-Turn Spoken Conversational Transcript Cleanup

Hua Shen, Vicky Zayats, Johann Rocholl, Daniel Walker, Dirk Padfield

Re3Dial: Retrieve, Reorganize and Rescale Conversations for Long-Turn Open-Domain Dialogue Pre-training

Jiaxin Wen, Hao Zhou, Jian Guan, Jie Zhou, Minlie Huang

Active Learning for Natural Language Generation

Yotam Perlitz, Ariel Gera, Michal Shmueli-Scheuer, Dafna Sheinwald, Noam Slonim

Prompting Scientific Names for Zero-Shot Species Recognition

Shubham Parashar, Zhiqiu Lin, Yanan Li, Shu Kong

Label Words are Anchors: An Information Flow Perspective for Understanding In-Context Learning

Lean Wang, Lei Li, Damai Dai, Deli Chen, Hao Zhou

A Video Is Worth 4096 Tokens: Verbalize Videos To Understand Them In Zero Shot

Aanisha Bhattacharyya, Yaman K Singla, Balaji Krishnamurthy, Rajiv Ratn Shah, Changyou Chen

CRoW: Benchmarking Commonsense Reasoning in Real-World Tasks

Mete Ismayilzada, Debjit Paul, Syrielle Montariol, Mor Geva, Antoine Bosselut

Quantifying the redundancy between prosody and text

Lukas Wolf, Tiago Pimentel, Evelina Fedorenko, Ryan Cotterell, Alex Warstadt

Beyond Shared Vocabulary: Increasing Representational Word Similarities across Languages for Multilingual Machine Translation

Di Wu, Christof Monz

A Quality-based Syntactic Template Retriever for Syntactically-Controlled Paraphrase Generation

Xue Zhang, Songming Zhang, Yunlong Liang, Yufeng Chen, Jian Liu

Bridging Background Knowledge Gaps in Translation with Automatic Explicitation

HyoJung Han, Jordan Boyd-Graber, Marine Carpuat

Towards Conceptualization of “Fair Explanation”: Disparate Impacts of anti-Asian Hate Speech Explanations on Content Moderators

Tin Nguyen, Jiannan Xu, Aayushi Roy, Hal Daume III, Marine Carpuat

DIVE: Towards Descriptive and Diverse Visual Commonsense Generation

Jun-Hyung Park, Hyuntae Park, Youjin Kang, Eojin Jeon, SangKeun Lee

SummEdits: Measuring LLM Ability at Factual Reasoning Through The Lens of Summarization

Philippe Laban, Wojciech Kryscinski, Divyansh Agarwal, Alexander Fabbri, Caiming Xiong

Large Language Models are biased to overestimate profoundness

Eugenio Herrera-Berg, Tomás Vergara Browne, Pablo León-Villagrá, Marc-Lluís Vives, Cristian Buc Calderon

From Multilingual Complexity to Emotional Clarity: Leveraging Commonsense to Unveil Emotions in Code-Mixed Dialogues

Shivani Kumar, Ramaneswaran S, Md Shad Akhtar, Tanmoy Chakraborty

CRaSh: Clustering, Removing, and Sharing Enhance Fine-tuning without Full Large Language Model

Kaiyan Zhang, Ning Ding, Biqing Qi, Xuekai Zhu, Xinwei Long

Statistical Depth for Ranking and Characterizing Transformer-Based Text Embeddings

Parker Seegmiller, Sarah Masud Preum

On Bilingual Lexicon Induction with Large Language Models

Yaoyiran Li, Anna Korhonen, Ivan Vulić

From Dissonance to Insights: Dissecting Disagreements in Rationale Construction for Case Outcome Classification

Shanshan Xu, Santosh T.y.s.s, Oana Ichim, Isabella Risini, Barbara Plank

EpiK-Eval: Evaluation for Language Models as Epistemic Models

Gabriele Prato, Jerry Huang, Prasanna Parthasarathi, Shagun Sodhani, Sarath Chandar

ART: rule bAsed futuRe-inference deducTion

Mengze Li, Tianqi Zhao, Bai Jionghao, Baoyi He, Jiaxu Miao

Multilingual estimation of political-party positioning: From label aggregation to long-input Transformers

Dmitry Nikolaev, Tanise Ceron, Sebastian Padó

Just Adjust One Prompt: Enhancing In-Context Dialogue Scoring via Constructing the Optimal Subgraph of Demonstrations and Prompts

Jiashu Pu, Ling Cheng, Lu Fan, Tangjie Lv, Rongsheng Zhang

InterFair: Debiasing with Natural Language Feedback for Fair Interpretable Predictions

Bodhisattwa Majumder, Zexue He, Julian McAuley

Practical Computational Power of Linear Transformers and Their Recurrent and Self-Referential Extensions

Kazuki Irie, Róbert Csordás, Jürgen Schmidhuber

Explore-Instruct: Enhancing Domain-Specific Instruction Coverage through Active Exploration

Fanqi Wan, Xinting Huang, Tao Yang, Xiaojun Quan, Wei Bi

We Need to Talk About Reproducibility in NLP Model Comparison

Yan Xue, Xuefei Cao, Xingli Yang, Yu Wang, Ruibo Wang

Query2doc: Query Expansion with Large Language Models

Liang Wang, Nan Yang, Furu Wei

SEAHORSE: A Multilingual, Multifaceted Dataset for Summarization Evaluation

Elizabeth Clark, Shruti Rijhwani, Sebastian Gehrmann, Joshua Maynez, Roee Aharoni

On the Benefits of Learning to Route in Mixture-of-Experts Models

Nishanth Dikkala, Nikhil Ghosh, Raghu Meka, Rina Panigrahy, Nikhil Vyas

ORCHID: A Chinese Debate Corpus for Target-Independent Stance Detection and Argumentative Dialogue Summarization

Xiutian Zhao, Ke Wang, Wei Peng

Revisiting Automated Topic Model Evaluation with Large Language Models

Dominik Stammbach, Vilém Zouhar, Alexander Hoyle, Mrinmaya Sachan, Elliott Ash

Describe Me an Auklet: Generating Grounded Perceptual Category Descriptions

Bill Noble, Nikolai Ilinykh

Centering the Margins: Outlier-Based Identification of Harmed Populations in Toxicity Detection

Vyoma Raman, Eve Fleisig, Dan Klein

STINMatch: Semi-Supervised Semantic-Topological Iteration Network for Financial Risk Detection via News Label Diffusion

Xurui Li, Yue Qin, Rui Zhu, Tianqianjin Lin, Yongming Fan

Learning Co-Speech Gesture for Multimodal Aphasia Type Detection

Daeun Lee, Sejung Son, Hyolim Jeon, Seungbae Kim, Jinyoung Han

Model-tuning Via Prompts Makes NLP Models Adversarially Robust

Mrigank Raman, Pratyush Maini, J Kolter, Zachary Lipton, Danish Pruthi

Modeling Legal Reasoning: LM Annotation at the Edge of Human Agreement

Rosamond Thalken, Edward Stiglitz, David Mimno, Matthew Wilkens

StructGPT: A General Framework for Large Language Model to Reason over Structured Data

Jinhao Jiang, Kun Zhou, Zican Dong, Keming Ye, Xin Zhao

Causal Reasoning through Two Cognition Layers for Improving Generalization in Visual Question Answering

Trang Nguyen, Naoaki Okazaki

Understanding Computational Models of Semantic Change: New Insights from the Speech Community

Filip Miletić, Anne Przewozny-Desriaux, Ludovic Tanguy

Multilingual k-Nearest-Neighbor Machine Translation

David Stap, Christof Monz

Learning Preference Model for LLMs via Automatic Preference Data Generation

Shijia Huang, Jianqiao Zhao, Yanyang Li, Liwei Wang

IBADR: an Iterative Bias-Aware Dataset Refinement Framework for Debiasing NLU models

Xiaoyue Wang, Xin Liu, Lijie Wang, Yaoxiang Wang, Jinsong Su

What’s “up” with vision-language models? Investigating their struggle with spatial reasoning

Amita Kamath, Jack Hessel, Kai-Wei Chang

APrompt: Attention Prompt Tuning for Efficient Adaptation of Pre-trained Language Models

Qifan Wang, Yuning Mao, Jingang Wang, Hanchao Yu, Shaoliang Nie

Polar Ducks and Where to Find Them: Enhancing Entity Linking with Duck Typing and Polar Box Embeddings

Mattia Atzeni, Mikhail Plekhanov, Frederic Dreyer, Nora Kassner, Simone Merello

EasyQuant: An Efficient Data-free Quantization Algorithm for LLMs

Hanlin Tang, Yifu Sun, Decheng Wu, Kai Liu, Jianchen Zhu

Improved Unsupervised Chinese Word Segmentation Using Pre-trained Knowledge and Pseudo-labeling Transfer

Hsiu-Wen Li, Ying-Jia Lin, Yi-Ting Li, Chun Lin, Hung-Yu Kao

Understanding the Role of Input Token Characters in Language Models: How Does Information Loss Affect Performance?

Ahmed Alajrami, Katerina Margatina, Nikolaos Aletras

Detection of Multiple Mental Disorders from Social Media with Two-Stream Psychiatric Experts

Siyuan Chen, Zhiling Zhang, Mengyue Wu, Kenny Zhu

M2DF: Multi-grained Multi-curriculum Denoising Framework for Multimodal Aspect-based Sentiment Analysis

Fei Zhao, Chunhui Li, Zhen Wu, Yawen Ouyang, Jianbing Zhang

CLAD-ST: Contrastive Learning with Adversarial Data for Robust Speech Translation

Sathish Indurthi, Shamil Chollampatt, Ravi Agrawal, Marco Turchi

Revisiting Instruction Fine-tuned Model Evaluation to Guide Industrial Applications

Manuel Faysse, Gautier Viaud, Celine Hudelot, Pierre Colombo

Fair Without Leveling Down: A New Intersectional Fairness Definition

Gaurav Maheshwari, Aurélien Bellet, Pascal Denis, Mikaela Keller

SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models

Potsawee Manakul, Adian Liusie, Mark Gales

IC3: Image Captioning by Committee Consensus

David M. Chan, Austin Myers, Sudheendra Vijayanarasimhan, David A. Ross, John Canny

Self-Evolution Learning for Mixup: Enhance Data Augmentation on Few-Shot Text Classification Tasks

Haoqi Zheng, Qihuang Zhong, Liang Ding, Zhiliang Tian, Xin Niu

FLatS: Principled Out-of-Distribution Detection with Feature-Based Likelihood Ratio Score

Haowei Lin, Yuntian Gu

AMR Parsing with Causal Hierarchical Attention and Pointers

Chao Lou, Kewei Tu

Exploring Linguistic Probes for Morphological Generalization

Jordan Kodner, Salam Khalifa, Sarah Payne

Detecting and Mitigating Hallucinations in Multilingual Summarisation

Yifu Qiu, Yftah Ziser, Anna Korhonen, Edoardo Ponti, Shay Cohen

Unnatural Error Correction: GPT-4 Can Almost Perfectly Handle Unnatural Scrambled Text

Qi Cao, Takeshi Kojima, Yutaka Matsuo, Yusuke Iwasawa

“Mistakes Help Us Grow”: Facilitating and Evaluating Growth Mindset Supportive Language in Classrooms

Kunal Handa, Margarett Clapper, Jessica Boyle, Rose Wang, Diyi Yang

Mirror: A Universal Framework for Various Information Extraction Tasks

Tong Zhu, Junfei Ren, Zijian Yu, MengSong Wu, Guoliang Zhang

Chain-of-Questions Training with Latent Answers for Robust Multistep Question Answering

Wang Zhu, Jesse Thomason, Robin Jia

Learning to Predict Task Transferability via Soft Prompt

Lingyun Feng

Dialogizer: Context-aware Conversational-QA Dataset Generation from Textual Sources

Yerin Hwang, Yongil Kim, Hyunkyung Bae, Hwanhee Lee, Jeesoo Bang

Event-Location Tracking in Narratives: A Case Study on Holocaust Testimonies

Eitan Wagner, Renana Keydar, Omri Abend

Evaluation Metrics in the Era of GPT-4: Reliably Evaluating Large Language Models on Sequence to Sequence Tasks

Andrea Sottana, Bin Liang, Kai Zou, Zheng Yuan

Are Embedded Potatoes Still Vegetables? On the Limitations of WordNet Embeddings for Lexical Semantics

Xuyou Cheng, Michael Schlichtkrull, Guy Emerson

Seeing through the mess: evolutionary dynamics of lexical polysemy

Andreas Baumann, Andreas Stephan, Benjamin Roth

MedEval: A Multi-Level, Multi-Task, and Multi-Domain Medical Benchmark for Language Model Evaluation

Zexue He, Yu Wang, An Yan, Yao Liu, Eric Chang

Regulation and NLP (RegNLP): Taming Large Language Models

Catalina Goanta, Nikolaos Aletras, Ilias Chalkidis, Sofia Ranchordás, Gerasimos Spanakis

SOUL: Towards Sentiment and Opinion Understanding of Language

Yue Deng, Wenxuan Zhang, Sinno Pan, Lidong Bing

Structure-aware Knowledge Graph-to-text Generation with Planning Selection and Similarity Distinction

Feng Zhao, Hongzhi Zou, Cheng Yan

Not all quantifiers are equal: Probing Transformer-based language models’ understanding of generalised quantifiers

Tharindu Madusanka, Iqra Zahid, Hao Li, Ian Pratt-Hartmann, Riza Batista-Navarro

Conversational Semantic Parsing using Dynamic Context Graphs

Parag Jain, Mirella Lapata

Disentangling Transformer Language Models as Superposed Topic Models

Jia Peng Lim, Hady Lauw

CleanCoNLL: A Nearly Noise-Free Named Entity Recognition Dataset

Susanna Rücker, Alan Akbik