EMNLP 2023

2,732 papers

The Effect of Scaling, Retrieval Augmentation and Form on the Factual Consistency of Language Models

Lovisa Hagström, Denitsa Saynova, Tobias Norlund, Moa Johansson, Richard Johansson

Representative Demonstration Selection for In-Context Learning with Two-Stage Determinantal Point Process

Zhao Yang, Yuanzhe Zhang, Dianbo Sui, Cao Liu, Jun Zhao

Just Ask for Calibration: Strategies for Eliciting Calibrated Confidence Scores from Language Models Fine-Tuned with Human Feedback

Katherine Tian, Eric Mitchell, Allan Zhou, Archit Sharma, Rafael Rafailov

Harnessing Black-Box Control to Boost Commonsense in LM’s Generation

Yufei Tian, Felix Zhang, Nanyun Peng

Efficient Algorithms for Recognizing Weighted Tree-Adjoining Languages

Alexandra Butoi, Tim Vieira, Ryan Cotterell, David Chiang

Exploring Chain of Thought Style Prompting for Text-to-SQL

Chang-Yu Tai, Ziru Chen, Tianshu Zhang, Xiang Deng, Huan Sun

PRCA: Fitting Black-Box Large Language Models for Retrieval Question Answering via Pluggable Reward-Driven Contextual Adapter

Haoyan Yang, Zhitao Li, Yong Zhang, Jianzong Wang, Ning Cheng

QUDeval: The Evaluation of Questions Under Discussion Discourse Parsing

Yating Wu, Ritika Mangla, Greg Durrett, Junyi Jessy Li

COHESENTIA: A Novel Benchmark of Incremental versus Holistic Assessment of Coherence in Generated Texts

Aviya Maimon, Reut Tsarfaty

PromptMix: A Class Boundary Augmentation Method for Large Language Model Distillation

Gaurav Sahu, Olga Vechtomova, Dzmitry Bahdanau, Issam Laradji

Query Rewriting in Retrieval-Augmented Large Language Models

Xinbei Ma, Yeyun Gong, Pengcheng He, Hai Zhao, Nan Duan

MILDSum: A Novel Benchmark Dataset for Multilingual Summarization of Indian Legal Case Judgments

Debtanu Datta, Shubham Soni, Rajdeep Mukherjee, Saptarshi Ghosh

DREAM: Deployment of Recombination and Ensembles in Argument Mining

Florian Ruosch, Cristina Sarasua, Abraham Bernstein

LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models

Zhiqiang Hu, Lei Wang, Yihuai Lan, Wanyu Xu, Ee-Peng Lim

Cross-Modal Conceptualization in Bottleneck Models

Danis Alukaev, Semen Kiselev, Ilya Pershin, Bulat Ibragimov, Vladimir Ivanov

GeoLM: Empowering Language Models for Geospatially Grounded Language Understanding

Zekun Li, Wenxuan Zhou, Yao-Yi Chiang, Muhao Chen

RAPL: A Relation-Aware Prototype Learning Approach for Few-Shot Document-Level Relation Extraction

Shiao Meng, Xuming Hu, Aiwei Liu, Shuang Li, Fukun Ma

ViSoBERT: A Pre-Trained Language Model for Vietnamese Social Media Text Processing

Nam Nguyen, Thang Phan, Duc-Vu Nguyen, Kiet Nguyen

Non-autoregressive Streaming Transformer for Simultaneous Translation

Zhengrui Ma, Shaolei Zhang, Shoutao Guo, Chenze Shao, Min Zhang

LINC: A Neurosymbolic Approach for Logical Reasoning by Combining Language Models with First-Order Logic Provers

Theo Olausson, Alex Gu, Ben Lipkin, Cedegao Zhang, Armando Solar-Lezama

Non-Programmers Can Label Programs Indirectly via Active Examples: A Case Study with Text-to-SQL

Ruiqi Zhong, Charlie Snell, Dan Klein, Jason Eisner

Cross-Cultural Analysis of Human Values, Morals, and Biases in Folk Tales

Winston Wu, Lu Wang, Rada Mihalcea

DiSTRICT: Dialogue State Tracking with Retriever Driven In-Context Tuning

Praveen Venkateswaran, Evelyn Duesterwald, Vatche Isahagian

CoLT5: Faster Long-Range Transformers with Conditional Computation

Joshua Ainslie, Tao Lei, Michiel De Jong, Santiago Ontanon, Siddhartha Brahma

Stop Uploading Test Data in Plain Text: Practical Strategies for Mitigating Data Contamination by Evaluation Benchmarks

Alon Jacovi, Avi Caciularu, Omer Goldman, Yoav Goldberg

Parameter-Efficient Language Model Tuning with Active Learning in Low-Resource Settings

Josip Jukić, Jan Šnajder

Prompting is not a substitute for probability measurements in large language models

Jennifer Hu, Roger Levy

Introducing Rhetorical Parallelism Detection: A New Task with Datasets, Metrics, and Baselines

Stephen Bothwell, Justin DeBenedetto, Theresa Crnkovich, Hildegund Müller, David Chiang

Localizing Active Objects from Egocentric Vision with Symbolic World Knowledge

Te-Lin Wu, Yu Zhou, Nanyun Peng

MMNMT: Modularizing Multilingual Neural Machine Translation with Flexibly Assembled MoE and Dense Blocks

Shangjie Li, Xiangpeng Wei, Shaolin Zhu, jun xie, Baosong Yang

Ignore This Title and HackAPrompt: Exposing Systemic Vulnerabilities of LLMs Through a Global Prompt Hacking Competition

Sander Schulhoff, Jeremy Pinto, Anaum Khan, Louis-François Bouchard, Chenglei Si

Text encoders bottleneck compositionality in contrastive vision-language models

Amita Kamath, Jack Hessel, Kai-Wei Chang

BiasX: “Thinking Slow” in Toxic Content Moderation with Explanations of Implied Social Biases

Yiming Zhang, Sravani Nanduri, Liwei Jiang, Tongshuang Wu, Maarten Sap

Towards a Mechanistic Interpretation of Multi-Step Reasoning Capabilities of Language Models

Yifan Hou, Jiaoda Li, Yu Fei, Alessandro Stolfo, Wangchunshu Zhou

GQA: Training Generalized Multi-Query Transformer Models from Multi-Head Checkpoints

Joshua Ainslie, James Lee-Thorp, Michiel De Jong, Yury Zemlyanskiy, Federico Lebron

EDIS: Entity-Driven Image Search over Multimodal Web Content

Siqi Liu, Weixi Feng, Tsu-Jui Fu, Wenhu Chen, William Wang

Can We Edit Factual Knowledge by In-Context Learning?

Ce Zheng, Lei Li, Qingxiu Dong, Yuxuan Fan, Zhiyong Wu

Post-hoc Utterance Refining Method by Entity Mining for Faithful Knowledge Grounded Conversations

Yoonna Jang, Suhyune Son, Jeongwoo Lee, Junyoung Son, Yuna Hur

Cross-Document Event Coreference Resolution on Discourse Structure

Xinyu Chen, Sheng Xu, Peifeng Li, Qiaoming Zhu

Adaptive Policy with Wait-k Model for Simultaneous Translation

Libo Zhao, Kai Fan, Wei Luo, Wu Jing, Shushu Wang

KEBAP: Korean Error Explainable Benchmark Dataset for ASR and Post-processing

Seonmin Koo, Chanjun Park, JINSUNG KIM, Jaehyung Seo, Sugyeong Eo

Cognitive Dissonance: Why Do Language Model Outputs Disagree with Internal Representations of Truthfulness?

Kevin Liu, Stephen Casper, Dylan Hadfield-Menell, Jacob Andreas

Mirages. On Anthropomorphism in Dialogue Systems

Gavin Abercrombie, Amanda Cercas Curry, Tanvi Dinkar, Verena Rieser, Zeerak Talat

A Cheaper and Better Diffusion Language Model with Soft-Masked Noise

Jiaao Chen, Aston Zhang, Mu Li, Alex Smola, Diyi Yang

Text Fact Transfer

Nishant Balepur, Jie Huang, Kevin Chang

Best of Both Worlds: Towards Improving Temporal Knowledge Base Question Answering via Targeted Fact Extraction

Nithish Kannen, Udit Sharma, Sumit Neelam, Dinesh Khandelwal, Shajith Ikbal

Merging Generated and Retrieved Knowledge for Open-Domain QA

Yunxiang Zhang, Muhammad Khalifa, Lajanugen Logeswaran, Moontae Lee, Honglak Lee

Well Begun is Half Done: Generator-agnostic Knowledge Pre-Selection for Knowledge-Grounded Dialogue

Lang Qin, Yao Zhang, Hongru Liang, Jun Wang, Zhenglu Yang

Toward a Critical Toponymy Framework for Named Entity Recognition: A Case Study of Airbnb in New York City

Mikael Brunila, Jack LaViolette, Sky CH-Wang, Priyanka Verma, Clara Féré

Discovering Universal Geometry in Embeddings with ICA

Hiroaki Yamagiwa, Momose Oyama, Hidetoshi Shimodaira

GradSim: Gradient-Based Language Grouping for Effective Multilingual Training

Mingyang Wang, Heike Adel, Lukas Lange, Jannik Strötgen, Hinrich Schuetze

Towards Building More Robust NER datasets: An Empirical Study on NER Dataset Bias from a Dataset Difficulty View

Ruotian Ma, Xiaolei Wang, Xin Zhou, Qi Zhang, Xuanjing Huang

Prototype-based HyperAdapter for Sample-Efficient Multi-task Tuning

Hao Zhao, Jie Fu, Zhaofeng He

DecoMT: Decomposed Prompting for Machine Translation Between Related Languages using Large Language Models

Ratish Puduppully, Anoop Kunchukuttan, Raj Dabre, Ai Ti Aw, Nancy Chen

Can Large Language Models Capture Dissenting Human Voices?

Noah Lee, Na Min An, James Thorne

Noisy Exemplars Make Large Language Models More Robust: A Domain-Agnostic Behavioral Analysis

Hongyi Zheng, Abulhair Saparov

Out-of-Distribution Generalization in Natural Language Processing: Past, Present, and Future

Linyi Yang, Yaoxian Song, Xuan Ren, Chenyang Lyu, Yidong Wang

Standardizing Distress Analysis: Emotion-Driven Distress Identification and Cause Extraction (DICE) in Multimodal Online Posts

Gopendra Singh, Soumitra Ghosh, Atul Verma, Chetna Painkra, Asif Ekbal

NeuSTIP: A Neuro-Symbolic Model for Link and Time Prediction in Temporal Knowledge Graphs

Ishaan Singh, Navdeep Kaur, Garima Gaur, Mausam

POE: Process of Elimination for Multiple Choice Reasoning

Chenkai Ma, Xinya Du

Analyzing Cognitive Plausibility of Subword Tokenization

Lisa Beinborn, Yuval Pinter

Knowledge Distillation ≈ Label Smoothing: Fact or Fallacy?

Md Sultan

Interactive Text Generation

Felix Faltings, Michel Galley, Kianté Brantley, Baolin Peng, Weixin Cai

Self-Detoxifying Language Models via Toxification Reversal

Chak Tou Leong, Yi Cheng, Jiashuo WANG, Jian Wang, Wenjie Li

Meta-Learning Online Adaptation of Language Models

Nathan Hu, Eric Mitchell, Christopher Manning, Chelsea Finn

DPP-TTS: Diversifying prosodic features of speech via determinantal point processes

Seongho Joo, Hyukhun Koh, Kyomin Jung

MingOfficial: A Ming Official Career Dataset and a Historical Context-Aware Representation Learning Framework

You-Jun Chen, Hsin-Yi Hsieh, Yu Lin, Yingtao Tian, Bert Chan

Preserving Privacy Through Dememorization: An Unlearning Technique For Mitigating Memorization Risks In Language Models

Aly Kassem, Omar Mahmoud, Sherif Saad

TrojanSQL: SQL Injection against Natural Language Interface to Database

Jinchuan Zhang, Yan Zhou, Binyuan Hui, Yaxin Liu, Ziming Li

Prompting Large Language Models with Chain-of-Thought for Few-Shot Knowledge Base Question Generation

Yuanyuan Liang, Jianing Wang, Hanlun Zhu, Lei Wang, Weining Qian

Uncertainty Guided Global Memory Improves Multi-Hop Question Answering

Alsu Sagirova, Mikhail Burtsev

Large Language Models are Temporal and Causal Reasoners for Video Question Answering

Dohwan Ko, Ji Lee, Woo-Young Kang, Byungseok Roh, Hyunwoo Kim

Video-Helpful Multimodal Machine Translation

Yihang Li, Shuichiro Shimizu, Chenhui Chu, Sadao Kurohashi, Wei Li

Support or Refute: Analyzing the Stance of Evidence to Detect Out-of-Context Mis- and Disinformation

Xin Yuan, Jie Guo, Weidong Qiu, Zheng Huang, Shujun Li

MEGA: Multilingual Evaluation of Generative AI

Kabir Ahuja, Harshita Diddee, Rishav Hada, Millicent Ochieng, Krithika Ramesh

Transductive Learning for Textual Few-Shot Classification in API-based Embedding Models

Pierre Colombo, Victor Pellegrain, Malik Boudiaf, Myriam Tami, Victor Storchan

Ideology Takes Multiple Looks: A High-Quality Dataset for Multifaceted Ideology Detection

Songtao Liu, Ziling Luo, Minghua Xu, Lixiao Wei, Ziyao Wei

The Art of SOCRATIC QUESTIONING: Recursive Thinking with Large Language Models

Jingyuan Qi, Zhiyang Xu, Ying Shen, Minqian Liu, Di Jin

ULF: Unsupervised Labeling Function Correction using Cross-Validation for Weak Supervision

Anastasiia Sedova, Benjamin Roth

Human Learning by Model Feedback: The Dynamics of Iterative Prompting with Midjourney

Shachar Don-Yehiya, Leshem Choshen, Omri Abend

Sparse Low-rank Adaptation of Pre-trained Language Models

Ning Ding, Xingtai Lv, Qiaosen Wang, Yulin Chen, Bowen Zhou

mRedditSum: A Multimodal Abstractive Summarization Dataset of Reddit Threads with Images

Keighley Overbay, Jaewoo Ahn, Fatemeh Pesaran Zadeh, Joonsuk Park, Gunhee Kim

ATFormer: A Learned Performance Model with Transfer Learning Across Devices for Deep Learning Tensor Programs

Yang Bai, Wenqian Zhao, Shuo Yin, Zixiao Wang, Bei Yu

SuperDialseg: A Large-scale Dataset for Supervised Dialogue Segmentation

Junfeng Jiang, Chengzhang Dong, Sadao Kurohashi, Akiko Aizawa

Vicinal Risk Minimization for Few-Shot Cross-lingual Transfer in Abusive Language Detection

Gretel De la Peña Sarracén, Paolo Rosso, Robert Litschko, Goran Glavaš, Simone Ponzetto

Language Model is Suitable for Correction of Handwritten Mathematical Expressions Recognition

Zui Chen, Jiaqi Han, Chaofan Yang, Yi Zhou

Are All Steps Equally Important? Benchmarking Essentiality Detection in Event Processes

Haoyu Wang, Hongming Zhang, Yueguan Wang, Yuqian Deng, Muhao Chen

Dynosaur: A Dynamic Growth Paradigm for Instruction-Tuning Data Curation

Da Yin, Xiao Liu, Fan Yin, Ming Zhong, Hritik Bansal

DisCo: Distilled Student Models Co-training for Semi-supervised Text Mining

Weifeng Jiang, Qianren Mao, Chenghua Lin, Jianxin Li, Ting Deng

A Tale of Pronouns: Interpretability Informs Gender Bias Mitigation for Fairer Instruction-Tuned Machine Translation

Giuseppe Attanasio, Flor Miriam Plaza del Arco, Debora Nozza, Anne Lauscher

Unifying Cross-Lingual Transfer across Scenarios of Resource Scarcity

Alan Ansell, Marinela Parovic, Ivan Vulić, Anna Korhonen, Edoardo Ponti

CS2W: A Chinese Spoken-to-Written Style Conversion Dataset with Multiple Conversion Types

Zishan Guo, Linhao Yu, Minghui Xu, Renren Jin, Deyi Xiong

Investigating Efficiently Extending Transformers for Long Input Summarization

Jason Phang, Yao Zhao, Peter Liu

A Rose by Any Other Name would not Smell as Sweet: Social Bias in Names Mistranslation

Sandra Sandoval, Jieyu Zhao, Marine Carpuat, Hal Daume III

Contrastive Learning of Sentence Embeddings from Scratch

Junlei Zhang, Zhenzhong Lan, Junxian He

COVID-19 Vaccine Misinformation in Middle Income Countries

Jongin Kim, Byeo Rhee Bak, Aditya Agrawal, Jiaxi Wu, Veronika Wirtz

Lost in Translation, Found in Spans: Identifying Claims in Multilingual Social Media

Shubham Mittal, Megha Sundriyal, Preslav Nakov

Continual Dialogue State Tracking via Example-Guided Question Answering

Hyundong Cho, Andrea Madotto, Zhaojiang Lin, Khyathi Chandu, Satwik Kottur

TRAVEL: Tag-Aware Conversational FAQ Retrieval via Reinforcement Learning

Yue Chen, Dingnan Jin, Chen Huang, Jia Liu, Wenqiang Lei

Selective Labeling: How to Radically Lower Data-Labeling Costs for Document Extraction Models

Yichao Zhou, James Bradley Wendt, Navneet Potti, Jing Xie, Sandeep Tata