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EMNLP 2023

2,732 papers

Finding Common Ground: Annotating and Predicting Common Ground in Spoken Conversations

Magdalena Markowska, Mohammad Taghizadeh, Adil Soubki, Seyed Mirroshandel, Owen Rambow

Few-shot Unified Question Answering: Tuning Models or Prompts?

Srijan Bansal, Semih Yavuz, Bo Pang, Meghana Bhat, Yingbo Zhou

DistillCSE: Distilled Contrastive Learning for Sentence Embeddings

Jiahao Xu, Wei Shao, Lihui Chen, Lemao Liu

Efficient k-NN Search with Cross-Encoders using Adaptive Multi-Round CUR Decomposition

Nishant Yadav, Nicholas Monath, Manzil Zaheer, Andrew McCallum

Knowledge-Selective Pretraining for Attribute Value Extraction

Hui LIU, Qingyu Yin, Zhengyang Wang, Chenwei Zhang, Haoming Jiang

Open-ended Commonsense Reasoning with Unrestricted Answer Candidates

Chen Ling, Xuchao Zhang, Xujiang Zhao, Yanchi Liu, Wei Cheng

Measuring bias in Instruction-Following models with P-AT

Dario Onorati, Elena Sofia Ruzzetti, Davide Venditti, Leonardo Ranaldi, Fabio Massimo Zanzotto

Romanization-based Large-scale Adaptation of Multilingual Language Models

Sukannya Purkayastha, Sebastian Ruder, Jonas Pfeiffer, Iryna Gurevych, Ivan Vulić

Data Selection Curriculum for Abstractive Text Summarization

Shichao Sun, Ruifeng Yuan, Jianfei He, Ziqiang Cao, Wenjie Li

ZeroSCROLLS: A Zero-Shot Benchmark for Long Text Understanding

Uri Shaham, Maor Ivgi, Avia Efrat, Jonathan Berant, Omer Levy

SmartSpanNER: Making SpanNER Robust in Low Resource Scenarios

Min Zhang, Xiaosong Qiao, Yanqing Zhao, Shimin Tao, Hao Yang

Beyond Candidates : Adaptive Dialogue Agent Utilizing Persona and Knowledge

Jungwoo Lim, Myunghoon Kang, JINSUNG KIM, Jeongwook Kim, Yuna Hur

Analysis of Style-Shifting on Social Media: Using Neural Language Model Conditioned by Social Meanings

Seiya Kawano, Shota Kanezaki, Angel Fernando Garcia Contreras, Akishige Yuguchi, Marie Katsurai

Frequency Balanced Datasets Lead to Better Language Models

Rodolfo Zevallos, Mireia Farrús, Núria Bel

Detecting Erroneously Recognized Handwritten Byzantine Text

John Pavlopoulos, Vasiliki Kougia, Paraskevi Platanou, Holger Essler

Flatness-Aware Prompt Selection Improves Accuracy and Sample Efficiency

Lingfeng Shen, Weiting Tan, Boyuan Zheng, Daniel Khashabi

CTQScorer: Combining Multiple Features for In-context Example Selection for Machine Translation

Aswanth Kumar, Ratish Puduppully, Raj Dabre, Anoop Kunchukuttan

A Sequence-to-Structure Approach to Document-level Targeted Sentiment Analysis

Nan Song, Hongjie Cai, Rui Xia, Jianfei Yu, Zhen Wu

Are Language Models Worse than Humans at Following Prompts? It’s Complicated

Albert Webson, Alyssa Loo, Qinan Yu, Ellie Pavlick

Effects of Human Adversarial and Affable Samples on BERT Generalization

Aparna Elangovan, Estrid He, Yuan Li, Karin Verspoor

STEER: Unified Style Transfer with Expert Reinforcement

Skyler Hallinan, Faeze Brahman, Ximing Lu, Jaehun Jung, Sean Welleck

Hierarchical Fusion for Online Multimodal Dialog Act Classification

Md Messal Monem Miah, Adarsh Pyarelal, Ruihong Huang

POSQA: Probe the World Models of LLMs with Size Comparisons

Chang Shu, Jiuzhou Han, Fangyu Liu, Ehsan Shareghi, Nigel Collier

Coherent Entity Disambiguation via Modeling Topic and Categorical Dependency

Zilin Xiao, Linjun Shou, Xingyao Zhang, Jie Wu, Ming Gong

ReadPrompt: A Readable Prompting Method for Reliable Knowledge Probing

Zezhong Wang, Luyao Ye, Hongru Wang, Wai-Chung Kwan, David Ho

Co-training and Co-distillation for Quality Improvement and Compression of Language Models

Hayeon Lee, Rui Hou, Jongpil Kim, Davis Liang, Hongbo Zhang

Good Meta-tasks Make A Better Cross-lingual Meta-transfer Learning for Low-resource Languages

Linjuan Wu, Zongyi Guo, Baoliang Cui, Haihong Tang, Weiming Lu

Learning Easily Updated General Purpose Text Representations with Adaptable Task-Specific Prefix

Kuan-Hao Huang, Liang Tan, Rui Hou, Sinong Wang, Amjad Almahairi

Improving Seq2Seq Grammatical Error Correction via Decoding Interventions

Houquan Zhou, Yumeng Liu, Zhenghua Li, Min Zhang, Bo Zhang

TabPrompt: Graph-based Pre-training and Prompting for Few-shot Table Understanding

Rihui Jin, Jianan Wang, Wei Tan, Yongrui Chen, Guilin Qi

Automatic Evaluate Dialogue Appropriateness by Using Dialogue Act

Bao Chen, Yuanjie Wang, Zeming Liu, Yuhang Guo

A Lightweight Method to Generate Unanswerable Questions in English

Vagrant Gautam, Miaoran Zhang, Dietrich Klakow

Dynamic Stashing Quantization for Efficient Transformer Training

Guo Yang, Daniel Lo, Robert Mullins, Yiren Zhao

VISTA: Visual-Textual Knowledge Graph Representation Learning

Jaejun Lee, Chanyoung Chung, Hochang Lee, Sungho Jo, Joyce Jiyoung Whang

GDA: Grammar-based Data Augmentation for Text Classification using Slot Information

Joonghyuk Hahn, Hyunjoon Cheon, Elizabeth Orwig, Su-Hyeon Kim, Sang-Ki Ko

Pseudointelligence: A Unifying Lens on Language Model Evaluation

Shikhar Murty, Orr Paradise, Pratyusha Sharma

RECAL: Sample-Relation Guided Confidence Calibration over Tabular Data

Wang HaoTian, Zhen Zhang, Mengting Hu, Qichao Wang, Liang Chen

Quantifying the Dialect Gap and its Correlates Across Languages

Anjali Kantharuban, Ivan Vulić, Anna Korhonen

Entity Disambiguation on a Tight Labeling Budget

Audi Primadhanty, Ariadna Quattoni

Measuring and Mitigating Constraint Violations of In-Context Learning for Utterance-to-API Semantic Parsing

Shufan Wang, Sébastien Jean, Sailik Sengupta, James Gung, Nikolaos Pappas

On Robustness of Finetuned Transformer-based NLP Models

Pavan Kalyan Reddy Neerudu, Subba Reddy Oota, Mounika Marreddy, Venkateswara Rao Kagita, Manish Gupta

Probing LLMs for Joint Encoding of Linguistic Categories

Giulio Starace, Konstantinos Papakostas, Rochelle Choenni, Apostolos Panagiotopoulos, Matteo Rosati

Stylized Dialogue Generation with Feature-Guided Knowledge Augmentation

Jinpeng Li, Zekai Zhang, Xiuying Chen, Dongyan Zhao, Rui Yan

VIPHY: Probing “Visible” Physical Commonsense Knowledge

Shikhar Singh, Ehsan Qasemi, Muhao Chen

Leveraging Multiple Teachers for Test-Time Adaptation of Language-Guided Classifiers

Kangda Wei, Sayan Ghosh, Rakesh Menon, Shashank Srivastava

RoMQA: A Benchmark for Robust, Multi-evidence, Multi-answer Question Answering

Victor Zhong, Weijia Shi, Wen-tau Yih, Luke Zettlemoyer

Visually Grounded Continual Language Learning with Selective Specialization

Kyra Ahrens, Lennart Bengtson, Jae Hee Lee, Stefan Wermter

Enhancing Abstractiveness of Summarization Models through Calibrated Distillation

Hwanjun Song, Igor Shalyminov, Hang Su, Siffi Singh, Kaisheng Yao

Evaluating Verifiability in Generative Search Engines

Nelson Liu, Tianyi Zhang, Percy Liang

Auto Search Indexer for End-to-End Document Retrieval

Tianchi Yang, Minghui Song, Zihan Zhang, Haizhen Huang, Weiwei Deng

Query-based Image Captioning from Multi-context 360cdegree Images

Koki Maeda, Shuhei Kurita, Taiki Miyanishi, Naoaki Okazaki

Towards large language model-based personal agents in the enterprise: Current trends and open problems

Vinod Muthusamy, Yara Rizk, Kiran Kate, Praveen Venkateswaran, Vatche Isahagian

Multi-Stage Pre-training Enhanced by ChatGPT for Multi-Scenario Multi-Domain Dialogue Summarization

Weixiao Zhou, Gengyao Li, Xianfu Cheng, Xinnian Liang, Junnan Zhu

KEPLET: Knowledge-Enhanced Pretrained Language Model with Topic Entity Awareness

Yichuan Li, Jialong Han, Kyumin Lee, Chengyuan Ma, Benjamin Yao

Conditional Natural Language Inference

Youngwoo Kim, Razieh Rahimi, James Allan

An Empirical Study of Frame Selection for Text-to-Video Retrieval

Mengxia Wu, Min Cao, Yang Bai, Ziyin Zeng, Chen Chen

MCC-KD: Multi-CoT Consistent Knowledge Distillation

Hongzhan Chen, Siyue Wu, Xiaojun Quan, Rui Wang, Ming Yan

Hierarchical Catalogue Generation for Literature Review: A Benchmark

Kun Zhu, Xiaocheng Feng, Xiachong Feng, Yingsheng Wu, Bing Qin