Overview

Empirical Methods in Natural Language Processing is a leading conference in the area of natural language processing and artificial intelligence.

Sponsorship Details

Platinum

Booth #5

Conference website

Accepted publications

AdaZeta: Adaptive zeroth-order tensor-train adaption for memory-efficient large language models fine-tuning

Yifan Yang, Kai Zhen, Ershad Banijamali, Thanasis Mouchtaris, Zheng Zhang

EMNLP 2024

2024

Machine learning
AmazonQAC: A large-scale, naturalistic query autocomplete dataset

Dante Everaert, Rohit Patki, Tianqi Zheng, Christopher Potts

EMNLP 2024

2024

Machine learning
ASTRA: Automatic schema matching using machine translation

Tarang Chugh, Deepak Zambre

EMNLP 2024

2024

Conversational AI
Attribute controlled fine-tuning for large language models: A case study on detoxification

Tao Meng, Ninareh Mehrabi, Palash Goyal, Anil Ramakrishna, Aram Galstyan, Richard Zemel, Kai-Wei Chang, Rahul Gupta, Charith Peris

EMNLP 2024

2024

Related: Detoxification of large language models via regularized fine-tuning

Conversational AI
BPID: A benchmark for personal identity deduplication

Runhui Wang, Yefan Tao, Adit Krishnan, Chris (Luyang) Kong, Xuanqing Liu, Yuqian Deng, Yunzhao Yang, Henrik Johnson, Andrew Borthwick, Aditi Sinha, Davor Golac

EMNLP 2024

2024

Information and knowledge management
CodeFort: Robust training for code generation models

Yuhao Zhang, Shiqi Wang, Haifeng Qian, Zijian Wang, Mingyue Shang, Linbo Liu, Sanjay Krishna Gouda, Baishakhi Ray, Murali Krishna Ramanathan, Xiaofei Ma, Anoop Deoras

EMNLP 2024

2024

Machine learning
CorrSynth - A correlated sampling method for diverse dataset generation from LLMs

Suhas Kowshik, Abhishek Divekar, Vijit Malik

EMNLP 2024

2024

Conversational AI
CoverICL: Selective annotation for in-context learning via active graph coverage

Costas Mavromatis, Balasubramaniam Srinivasan, Zhengyuan Shen, Jiani Zhang, Huzefa Rangwala, Christos Faloutsos, George Karypis

EMNLP 2024

2024

Conversational AI
Dancing in chains: Reconciling instruction following and faithfulness in language models

Zhengxuan Wu, Yuhao Zhang, Peng Qi, Yumo Xu, Rujun Han, Yian Zhang, Jifan Chen, Bonan Min, Zhiheng Huang

EMNLP 2024

2024

Conversational AI
DATA ADVISOR: Dynamic data curation for safety alignment of large language models

Fei Wang, Ninareh Mehrabi, Palash Goyal, Rahul Gupta, Kai-Wei Chang, Aram Galstyan

EMNLP 2024

2024

Conversational AI
DEM: Distribution edited model for training with mixed data distributions

Dhananjay Ram, Aditya Rawal, Momchil Hardalov, Nikolaos Pappas, Sheng Zha

EMNLP 2024

2024

Related: Training large language models more efficiently

Conversational AI
DiAL: Diversity aware listwise ranking for query auto-complete

Sonali Singh, Sachin Farfade, Prakash Mandayam Comar

EMNLP 2024

2024

Search and information retrieval
DocKD: Knowledge distillation from LLMs for open-world document understanding models

Sungnyun Kim, Haofu Liao, Srikar Appalaraju, Peng Tang, Zhuowen Tu, Ravi Kumar Satzoda, R. Manmatha, Vijay Mahadevan, Stefano Soatto

EMNLP 2024

2024

Computer vision
Don’t shoot the breeze: Topic continuity model using nonlinear Naive Bayes with attention

Shu-Ting Pi, Pradeep Bagavan, Yejia Li, Disha Makhija, Qun Liu

EMNLP 2024

2024

Conversational AI
ECON: On the detection and resolution of evidence conflicts

Cheng Jiayang, Chunkit Chan, Qianqian Zhuang, Lin Qiu, Tianhang Zhang, Tengxiao Liu, Yangqiu Song, Yue Zhang, Pengfei Liu, Zheng Zhang

EMNLP 2024

2024

Conversational AI
Efficient pointwise-pairwise learning-to-rank for news recommendation

Nithish Kannen Senthilkumar, Yao Ma, Gerrit van den Burg, Jean Baptiste Faddoul

EMNLP 2024

2024

Machine learning
Evaluating D-MERIT of partial-annotation on information retrieval

Royi Rassin, Yaron Fairstein, Oren Kalinsky, Guy Kushilevitz, Nachshon Cohen, Alex Libov, Yoav Goldberg

EMNLP 2024

2024

Search and information retrieval
Evaluating differentially private synthetic data generation in high-stakes domains

Krithika Ramesh, Nupoor Gandhi, Pulkit Madaan, Lisa Bauer, Charith Peris, Anjalie Field

EMNLP 2024

2024

Conversational AI
Evolutionary contrastive distillation for language model alignment

Julian Katz-Samuels, Zheng Li, Hyokun Yun, Priyanka Nigam, Yi Xu, Vaclav Petricek, Bing Yin, Trishul Chilimbi

EMNLP 2024

2024

Conversational AI
Explaining and improving contrastive decoding by extrapolating the probabilities of a huge and hypothetical LM

Haw-Shiuan Chang, Nanyun Peng, Mohit Bansal, Anil Ramakrishna, Tagyoung Chung

EMNLP 2024

2024

Conversational AI
FLIRT: Feedback loop in-context red teaming

Ninareh Mehrabi, Palash Goyal, Christophe Dupuy, Qian Hu, Shalini Ghosh, Richard Zemel, Kai-Wei Chang, Aram Galstyan, Rahul Gupta

EMNLP 2024

2024

Conversational AI
Generative subgraph retrieval for knowledge graph–grounded dialog generation

Jinyoung Park, Minseok Joo, Joo-Kyung Kim, Hyunwoo J. Kim

EMNLP 2024

2024

Conversational AI
HalluMeasure: Fine-grained hallucination measurement using chain-of-thought reasoning

Shayan Ali Akbar, Md Mosharaf Hossain, Tess Wood, Si-Chi Chin, Erica Salinas, Victor Alvarez, Erwin Cornejo

EMNLP 2024

2024

Related: Automating hallucination detection with chain-of-thought reasoning

Conversational AI
Hop, skip, jump to convergence: Dynamics of learning rate transitions for improved training of large language models

Shreyas Subramanian, Vignesh Ganapathiraman, Corey Barrett

EMNLP 2024

2024

Conversational AI
Identifying high consideration e-commerce search queries

Zhiyu Chen, Jason Choi, Besnik Fetahu, Shervin Malmasi

EMNLP 2024

2024

Conversational AI
Intent detection in the age of LLMs

Gaurav Arora, Shreya Jain, Srujana Merugu

EMNLP 2024

2024

Conversational AI
Knowledge-centric hallucination detection

Xiangkun Hu, Dongyu Ru, Lin Qiu, Qipeng Guo, Tianhang Zhang, Yang Xu, Yun Luo, Pengfei Liu, Zheng Zhang, Yue Zhang

EMNLP 2024

2024

Conversational AI
LaRS: Latent reasoning skills for chain-of-thought reasoning

Zifan Xu, Haozhu Wang, Dmitriy Bespalov, Xian Wu, Yanjun (Jane) Qi

EMNLP 2024

2024

Machine learning
Learning from natural language explanations for generalizable entity matching

Somin Wadhwa, Adit Krishnan, Runhui Wang, Byron C. Wallace, Chris (Luyang) Kong

EMNLP 2024

2024

Conversational AI
Learning from relevant subgoals in successful dialogs using iterative training for task-oriented dialog systems

Magdalena Kaiser, Patrick Ernst, Gyuri Szarvas

EMNLP 2024

2024

Conversational AI
LLM self-correction with DeCRIM: Decompose, critique, and refine for enhanced following of instructions with multiple constraints

Thomas Palmeira Ferraz, Kartik Mehta, Yu-Hsiang Lin, Haw-Shiuan Chang, Shereen Oraby, Sijia Liu, Vivek Subramanian, Tagyoung Chung, Mohit Bansal, Nanyun Peng

EMNLP 2024, NeurIPS 2024 Workshop on System-2 Reasoning at Scale

2024

Conversational AI
MARCO: Multi-agent real-time chat orchestration

Anubhav Shrimal, Stanley Kanagaraj, Kriti Biswas, Swarnalatha Raghuraman, Anish Nediyanchath, Yi Zhang, Promod Yenigalla

EMNLP 2024

2024

Conversational AI
Order of magnitude speedups for LLM membership inference

Rongting Zhang, Martin Bertran Lopez, Aaron Roth

EMNLP 2024

2024

Conversational AI
PEARL: Preference extraction with exemplar augmentation and retrieval with LLM agents

Vijit Malik, Akshay Jagatap, Vinayak Puranik, Anirban Majumder

EMNLP 2024

2024

Conversational AI
Performance-guided LLM knowledge distillation for efficient text classification at scale

Flavio Di Palo, Prateek Singhi, Bilal Fadlallah

EMNLP 2024

2024

Conversational AI
Precise model benchmarking with only a few observations

Riccardo Fogliato, Pratik Patil, Nil-Jana Akpinar, Mathew Monfort

EMNLP 2024

2024

Machine learning
Predicting entity salience in extremely short documents

Ben Bullough, Harrison Lundberg, Chen Hu, Weihang Xiao

EMNLP 2024

2024

Conversational AI
Pretraining and finetuning language models on geospatial networks for accurate address matching

Saket Maheshwary, Arpan Paul, Saurabh Sohoney

EMNLP 2024

2024

Conversational AI
Prompt-tuned muti-task taxonomic transformer (PTMTTaxoFormer)

Rajashekar Vasantha, Nhan Nguyen, Yue Zhang

EMNLP 2024

2024

Conversational AI
Quality matters: Evaluating synthetic data for tool-using LLMs

Shadi Iskander, Nachshon Cohen, Zohar Karnin, Ori Shapira, Sofia Tolmach

EMNLP 2024

2024

Conversational AI
RAG-QA arena: Evaluating domain robustness for long-form retrieval-augmented question answering

Rujun Han, Yuhao Zhang, Peng Qi, Yumo Xu, Jenyuan Wang, Lan Liu, William Yang Wang, Bonan Min, Vittorio Castelli

EMNLP 2024

2024

Conversational AI
Retrieval augmented spelling correction for e-commerce applications

Xuan Guo, Rohit Patki, Dante Everaert, Christopher Potts

EMNLP 2024

2024

Conversational AI
Retrieving contextual information for long-form question answering using weak supervision

Philipp Christmann, Svitlana Vakulenko, Ionut Teodor Sorodoc, Bill Byrne, Adrià de Gispert

EMNLP 2024

2024

Search and information retrieval
RoseLoRA: Row and column-wise sparse low-rank adaptation of pre-trained language model for knowledge editing and fine-tuning

Haoyu Wang, Tianci Liu, Ruirui Li, Monica Cheng, Tuo Zhao, Jing Gao

EMNLP 2024

2024

Conversational AI
Salient information prompting to steer content in prompt-based abstractive summarization

Lei Xu, Asad Karim, Saket Dingliwal, Aparna Elangovan

EMNLP 2024

2024

Conversational AI
Sequential LLM framework for fashion recommendation

Han Liu, Xianfeng Tang, Tianlang Chen, Jiapeng Liu, Indu Indu, Henry Peng Zou, Peng Dai, Roberto Fernandez Galan, Mike Porter, Dongmei Jia, Ning Zhang, Lian Xiong

EMNLP 2024

2024

Machine learning
Socratic human feedback (SoHF): Expert steering strategies for LLM code generation

Subramanian Chidambaram, Erran Li, Min Bai, Xiaopeng LI, Kaixiang Lin, Xiong Zhou, Alex C. Williams

EMNLP 2024

2024

Conversational AI
Speechworthy instruction-tuned language models

Hyundong Cho, Nicolaas Jedema, Leonardo Ribeiro, Karishma Sharma, Pedro Szekely, Alessandro Moschitti, Ruben Janssen, Jonathan May

EMNLP 2024

2024

Conversational AI
Structured object language modeling (SoLM): Native structured objects generation conforming to complex schemas with self-supervised denoising

Amir Tavanaei, Kee Kiat Koo, Hayreddin Ceker, Shaobai Jiang, Qi Li, Julien Han, Karim Bouyarmane

EMNLP 2024

2024

Related: Lightweight LLM for converting text to structured data

Conversational AI
SYNTHESIZRR: Generating diverse datasets with retrieval augmentation

Abhishek Divekar, Greg Durrett

EMNLP 2024

2024

Conversational AI
Textual dataset distillation via language model embedding

Yefan Tao, Chris (Luyang) Kong, Andrey Kan, Laurent Callot

EMNLP 2024

2024

Information and knowledge management

Findings

Self-contradictory reasoning evaluation and detection

Ziyi Liu, Soumya Sanyal, Isabelle Lee, Yongkang Du, Rahul Gupta, Yang Liu, Jieyu Zhao

Findings of EMNLP 2024

2024

Conversational AI
From pixels to personas: Investigating and modeling self-anthropomorphism in human-robot dialogues

Yu Li, Devamanyu Hazarika, Di Jin, Julia Hirschberg, Yang Liu

Findings of EMNLP 2024

2024

Conversational AI
Auto-evolve: Enhancing large language model’s performance via self-reasoning framework

Krishna Aswani, Alex Lu, Pranav Patankar, Priya Dhalwani, Iris Tan, Jayant Ganeshmohan, Simon Lacasse

Findings of EMNLP 2024

2024

Conversational AI
Distance-aware calibration for pre-trained language models

Alberto Gasparin, Gianluca Detommaso

Findings of EMNLP 2024

2024

Conversational AI
Learning when to retrieve, what to rewrite, and how to respond in conversational QA

Nirmal Roy, Leonardo Ribeiro, Rexhina Blloshmi, Kevin Small

Findings of EMNLP 2024

2024

Conversational AI
AXCEL: Automated eXplainable consistency evaluation using LLMs

P Aditya Sreekar, Sahil Verma, Suransh Chopra, Sarik Ghazarian, Abhishek Persad, Narayanan Sadagopan

Findings of EMNLP 2024

2024

Conversational AI
FANTAstic SEquences and where to find them: Faithful and efficient API call generation through state-tracked constrained decoding and reranking

Zhuoer Wang, Leonardo Ribeiro, Alexandros Papangelis, Rohan Mukherjee, Tzu-Yen Wang, Xinyan Zhao, Arijit Biswas, James Caverlee, Angeliki Metallinou

ACL 2024 Workshop on NLP for Conversational AI, Findings of EMNLP 2024

2024

Conversational AI

Workshops

EMNLP 2024 Workshop on Customizable NLP

November 16

Scaling laws for predicting downstream performance in LLMs

Yangyi Chen, Binxuan Huang, Yifan Gao, Zhengyang Wang, Jingfeng Yang, Heng Ji

2025

Conversational AI

Adapting LLM predictions in in-context learning with data priors

Javier Chiyah-Garcia, Prasoon Goyal, Michael Johnston, Reza Ghanadan

2024

Conversational AI

E-commerce product categorization with LLM-based dual-expert classification paradigm

Zhu Cheng, Wen Zhang, Chih-Chi (Jimmy) Chou, You-Yi Jau, Archita Pathak, Penny Gao, Umit Batur

2024

Conversational AI

EMNLP 2024 Workshop on e-Commerce and NLP

Unknown date

EMNLP 2024 Workshop on NLP for Positive Impact

November 15

PG-STORY: Taxonomy, dataset, and evaluation for ensuring child-safe content for story generation

Alicia Y. Tsai, Shereen Oraby, Anjali Narayan-Chen, Alessandra Cervone, Spandana Gella, Apurv Verma, Tagyoung Chung, Jing Huang, Nanyun Peng

2024

Conversational AI

EMNLP 2024 Workshop on Social Influence in Conversations

November 15 - November 16

Redefining proactivity for information seeking dialogue

Jing Yang Lee, Seokhwan Kim, Kartik Mehta, Jiun-Yu Kao, Yu-Hsiang Lin, Arpit Gupta

2024

Conversational AI