EMNLP 2024

2,910 papers

Knowledge-augmented Financial Market Analysis and Report Generation

Yuemin Chen, Feifan Wu, Jingwei Wang, Hao Qian, Ziqi Liu

ConvKGYarn: Spinning Configurable and Scalable Conversational Knowledge Graph QA Datasets with Large Language Models

Ronak Pradeep, Daniel Lee, Ali Mousavi, Jeffrey Pound, Yisi Sang

Systematic Evaluation of Long-Context LLMs on Financial Concepts

Lavanya Gupta, Saket Sharma, Yiyun Zhao

DiAL : Diversity Aware Listwise Ranking for Query Auto-Complete

Sonali Singh, Sachin Sudhakar Farfade, Prakash Mandayam Comar

Query-OPT: Optimizing Inference of Large Language Models via Multi-Query Instructions in Meeting Summarization

Md Tahmid Rahman Laskar, Elena Khasanova, Xue-yong Fu, Cheng Chen, Shashi Bhushan Tn

Granite-Function Calling Model: Introducing Function Calling Abilities via Multi-task Learning of Granular Tasks

Ibrahim Abdelaziz, Kinjal Basu, Mayank Agarwal, Sadhana Kumaravel, Matthew Stallone

Athena: Safe Autonomous Agents with Verbal Contrastive Learning

Tanmana Sadhu, Ali Pesaranghader, Yanan Chen, Dong Hoon Yi

Generating Vehicular Icon Descriptions and Indications Using Large Vision-Language Models

James Fletcher, Nicholas Dehnen, Seyed Nima Tayarani Bathaie, Aijun An, Heidar Davoudi

LARA: Linguistic-Adaptive Retrieval-Augmentation for Multi-Turn Intent Classification

Junhua Liu, Tan Yong Keat, BIN FU, Kwan Hui Lim

Value Alignment from Unstructured Text

Inkit Padhi, Karthikeyan Natesan Ramamurthy, Prasanna Sattigeri, Manish Nagireddy, Pierre Dognin

The State of the Art of Large Language Models on Chartered Financial Analyst Exams

Mahmoud Mahfouz, Ethan Callanan, Mathieu Sibue, Antony Papadimitriou, Zhiqiang Ma

Language, OCR, Form Independent (LOFI) pipeline for Industrial Document Information Extraction

Chang Oh Yoon, Wonbeen Lee, Seokhwan Jang, Kyuwon Choi, Minsung Jung

AmazonQAC: A Large-Scale, Naturalistic Query Autocomplete Dataset

Dante Everaert, Rohit Patki, Tianqi Zheng, Christopher Potts

Fine-Tuning Large Language Models for Stock Return Prediction Using Newsflow

Tian Guo, Emmanuel Hauptmann

Survival of the Safest: Towards Secure Prompt Optimization through Interleaved Multi-Objective Evolution

Ankita Sinha, Wendi Cui, Kamalika Das, Jiaxin Zhang

OMG-QA: Building Open-Domain Multi-Modal Generative Question Answering Systems

Linyong Nan, Weining Fang, Aylin Rasteh, Pouya Lahabi, Weijin Zou

Adapting LLMs for Structured Natural Language API Integration

Robin Chan, Katsiaryna Mirylenka, Thomas Gschwind, Christoph Miksovic, Paolo Scotton

Building an Efficient Multilingual Non-Profit IR System for the Islamic Domain Leveraging Multiprocessing Design in Rust

Vera Pavlova, Mohammed Makhlouf

Don’t be my Doctor! Recognizing Healthcare Advice in Large Language Models

Kellen Tan Cheng, Anna Lisa Gentile, Pengyuan Li, Chad DeLuca, Guang-Jie Ren

Can Machine Unlearning Reduce Social Bias in Language Models?

Omkar Dige, Diljot Arneja, Tsz Fung Yau, Qixuan Zhang, Mohammad Bolandraftar

Detecting LLM-Assisted Cheating on Open-Ended Writing Tasks on Language Proficiency Tests

Chenhao Niu, Kevin P. Yancey, Ruidong Liu, Mirza Basim Baig, André Kenji Horie

Tell me what I need to know: Exploring LLM-based (Personalized) Abstractive Multi-Source Meeting Summarization

Frederic Kirstein, Terry Ruas, Robert Kratel, Bela Gipp

A new approach for fine-tuning sentence transformers for intent classification and out-of-scope detection tasks

Tianyi Zhang, Atta Norouzian, Aanchan Mohan, Frederick Ducatelle

MARS: Multilingual Aspect-centric Review Summarisation

Sandeep Sricharan Mukku, Abinesh Kanagarajan, Chetan Aggarwal, Promod Yenigalla

Retrieval Augmented Generation or Long-Context LLMs? A Comprehensive Study and Hybrid Approach

Zhuowan Li, Cheng Li, Mingyang Zhang, Qiaozhu Mei, Michael Bendersky

ProConSuL: Project Context for Code Summarization with LLMs

Vadim Lomshakov, Andrey Podivilov, Sergey Savin, Oleg Baryshnikov, Alena Lisevych

A Hassle-free Algorithm for Strong Differential Privacy in Federated Learning Systems

Hugh Brendan McMahan, Zheng Xu, Yanxiang Zhang

Assisting Breastfeeding and Maternity Experts in Responding to User Queries with an AI-in-the-loop Approach

Nadjet Bouayad-Agha, Ignasi Gomez-Sebastia, Alba Padro, Enric Pallares Roura, David Pelayo Castelló

Structured Object Language Modeling (SO-LM): Native Structured Objects Generation Conforming to Complex Schemas with Self-Supervised Denoising

Amir Tavanaei, Kee Kiat Koo, Hayreddin Ceker, Shaobai Jiang, Qi Li

Intelligent Predictive Maintenance RAG framework for Power Plants: Enhancing QA with StyleDFS and Domain Specific Instruction Tuning

SeongTae Hong, Joong Min Shin, Jaehyung Seo, Taemin Lee, Jeongbae Park

Probing the Depths of Language Models’ Contact-Center Knowledge for Quality Assurance

Digvijay Anil Ingle, Aashraya Sachdeva, Surya Prakash Sahu, Mayank Sati, Cijo George

SMARTCAL: An Approach to Self-Aware Tool-Use Evaluation and Calibration

Yuanhao Shen, Xiaodan Zhu, Lei Chen

Pretraining and Finetuning Language Models on Geospatial Networks for Accurate Address Matching

Saket Maheshwary, Arpan Paul, Saurabh Sohoney

ULMR: Unlearning Large Language Models via Negative Response and Model Parameter Average

Shaojie Shi, Xiaoyu Tan, Xihe Qiu, Chao Qu, Kexin Nie

RAG4ITOps: A Supervised Fine-Tunable and Comprehensive RAG Framework for IT Operations and Maintenance

Tianyang Zhang, Zhuoxuan Jiang, Shengguang Bai, Tianrui Zhang, Lin Lin

PARA: Parameter-Efficient Fine-tuning with Prompt-Aware Representation Adjustment

Zequan Liu, Yi Zhao, Ming Tan, Wei Zhu, Aaron Xuxiang Tian

Improving Hierarchical Text Clustering with LLM-guided Multi-view Cluster Representation

Anup Pattnaik, Cijo George, Rishabh Kumar Tripathi, Sasanka Vutla, Jithendra Vepa

QDyLoRA: Quantized Dynamic Low-Rank Adaptation for Efficient Large Language Model Tuning

Hossein Rajabzadeh, Mojtaba Valipour, Tianshu Zhu, Marzieh S. Tahaei, Hyock Ju Kwon

IPL: Leveraging Multimodal Large Language Models for Intelligent Product Listing

Kang Chen, Qing Heng Zhang, Chengbao Lian, Yixin Ji, Xuwei Liu

Improving Few-Shot Cross-Domain Named Entity Recognition by Instruction Tuning a Word-Embedding based Retrieval Augmented Large Language Model

Subhadip Nandi, Neeraj Agrawal

Breaking the Hourglass Phenomenon of Residual Quantization: Enhancing the Upper Bound of Generative Retrieval

Zhirui Kuai, Zuxu Chen, Huimu Wang, Mingming Li, Dadong Miao

MILD Bot: Multidisciplinary Childhood Cancer Survivor Question-Answering Bot

Mirae Kim, Kyubum Hwang, Hayoung Oh, Min Ah Kim, Chaerim Park

Time Matters: An End-to-End Solution for Temporal Claim Verification

Anab Maulana Barik, Wynne Hsu, Mong-Li Lee

KorSmishing Explainer: A Korean-centric LLM-based Framework for Smishing Detection and Explanation Generation

Yunseung Lee, Daehee Han

RRADistill: Distilling LLMs’ Passage Ranking Ability for Long-Tail Queries Document Re-Ranking on a Search Engine

Nayoung Choi, Youngjune Lee, Gyu-Hwung Cho, Haeyu Jeong, Jungmin Kong

TelBench: A Benchmark for Evaluating Telco-Specific Large Language Models

Sunwoo Lee, Dhammiko Arya, Seung-Mo Cho, Gyoung-eun Han, Seokyoung Hong

Refining App Reviews: Dataset, Methodology, and Evaluation

Amrita Singh, Chirag Jain, Mohit Chaudhary, Preethu Rose Anish

Sample Design Engineering: An Empirical Study on Designing Better Fine-Tuning Samples for Information Extraction with LLMs

Biyang Guo, He Wang, Wenyilin Xiao, Hong Chen, ZhuXin Lee

Identifying High Consideration E-Commerce Search Queries

Zhiyu Chen, Jason Ingyu Choi, Besnik Fetahu, Shervin Malmasi

MERLIN: Multimodal Embedding Refinement via LLM-based Iterative Navigation for Text-Video Retrieval-Rerank Pipeline

Donghoon Han, Eunhwan Park, Gisang Lee, Adam Lee, Nojun Kwak

BPID: A Benchmark for Personal Identity Deduplication

Runhui Wang, Yefan Tao, Adit Krishnan, Luyang Kong, Xuanqing Liu

ReportGPT: Human-in-the-loop Verifiable Table-to-Text Generation

Lucas Cecchi, Petr Babkin

FanLoRA: Fantastic LoRAs and Where to Find Them in Large Language Model Fine-tuning

Aaron Xuxiang Tian, Yi Zhao, Congrui Yin, Wei Zhu, Xing Tian

Personal Large Language Model Agents: A Case Study on Tailored Travel Planning

Harmanpreet Singh, Nikhil Verma, Yixiao Wang, Manasa Bharadwaj, Homa Fashandi

Arcee’s MergeKit: A Toolkit for Merging Large Language Models

Charles Goddard, Shamane Siriwardhana, Malikeh Ehghaghi, Luke Meyers, Vladimir Karpukhin

Prompt-Tuned Muti-Task Taxonomic Transformer (PTMTTaxoFormer)

Rajashekar Vasantha, Nhan Nguyen, Yue Zhang

TensorOpera Router: A Multi-Model Router for Efficient LLM Inference

Dimitris Stripelis, Zhaozhuo Xu, Zijian Hu, Alay Dilipbhai Shah, Han Jin

FastAdaSP: Multitask-Adapted Efficient Inference for Large Speech Language Model

Yichen Lu, Jiaqi Song, Chao-Han Huck Yang, Shinji Watanabe

News Risk Alerting System (NRAS): A Data-Driven LLM Approach to Proactive Credit Risk Monitoring

Adil Nygaard, Ashish Upadhyay, Lauren Hinkle, Xenia Skotti, Joe Halliwell

SEED: Semantic Knowledge Transfer for Language Model Adaptation to Materials Science

Yeachan Kim, Jun-Hyung Park, SungHo Kim, Juhyeong Park, Sangyun Kim

Moleco: Molecular Contrastive Learning with Chemical Language Models for Molecular Property Prediction

Jun-Hyung Park, Hyuntae Park, Yeachan Kim, Woosang Lim, SangKeun Lee

GeoIndia: A Seq2Seq Geocoding Approach for Indian Addresses

Bhavuk Singhal, Anshu Aditya, Lokesh Todwal, Shubham Jain, Debashis Mukherjee

Detecting Ambiguous Utterances in an Intelligent Assistant

Satoshi Akasaki, Manabu Sassano

TPTU-v2: Boosting Task Planning and Tool Usage of Large Language Model-based Agents in Real-world Industry Systems

Yilun Kong, Jingqing Ruan, Yihong Chen, Bin Zhang, Tianpeng Bao

Greenback Bears and Fiscal Hawks: Finance is a Jungle and Text Embeddings Must Adapt

Peter Anderson, Mano Vikash Janardhanan, Jason He, Wei Cheng, Charlie Flanagan

Divide-Conquer-Reasoning for Consistency Evaluation and Automatic Improvement of Large Language Models

Wendi Cui, Zhuohang Li, Damien Lopez, Kamalika Das, Bradley A. Malin

SHIELD: LLM-Driven Schema Induction for Predictive Analytics in EV Battery Supply Chain Disruptions

Zhi-Qi Cheng, Yifei Dong, Aike Shi, Wei Liu, Yuzhi Hu

Context Matters: Pushing the Boundaries of Open-Ended Answer Generation with Graph-Structured Knowledge Context

Somnath Banerjee, Amruit Sahoo, Sayan Layek, Avik Dutta, Rima Hazra

ScaleLLM: A Resource-Frugal LLM Serving Framework by Optimizing End-to-End Efficiency

Yuhang Yao, Han Jin, Alay Dilipbhai Shah, Shanshan Han, Zijian Hu

Code Representation Pre-training with Complements from Program Executions

Jiabo Huang, Jianyu Zhao, Yuyang Rong, Yiwen Guo, Yifeng He

Robust ASR Error Correction with Conservative Data Filtering

Takuma Udagawa, Masayuki Suzuki, Masayasu Muraoka, Gakuto Kurata

Investigating the Personality Consistency in Quantized Role-Playing Dialogue Agents

Yixiao Wang, Homa Fashandi, Kevin Ferreira

Fusion-Eval: Integrating Assistant Evaluators with LLMs

Lei Shu, Nevan Wichers, Liangchen Luo, Yun Zhu, Yinxiao Liu

Centrality-aware Product Retrieval and Ranking

Hadeel Saadany, Swapnil Bhosale, Samarth Agrawal, Diptesh Kanojia, Constantin Orasan

Debiasing Text Safety Classifiers through a Fairness-Aware Ensemble

Olivia Sturman, Aparna R Joshi, Bhaktipriya Radharapu, Piyush Kumar, Renee Shelby

SAAS: Solving Ability Amplification Strategy for Enhanced Mathematical Reasoning in Large Language Models

Hyeonwoo Kim, Gyoungjin Gim, Yungi Kim, Jihoo Kim, Byungju Kim

Fairness-Aware Online Positive-Unlabeled Learning

Hoin Jung, Xiaoqian Wang

PDFTriage: Question Answering over Long, Structured Documents

Jon Saad-Falcon, Joe Barrow, Alexa Siu, Ani Nenkova, Seunghyun Yoon

LLMC: Benchmarking Large Language Model Quantization with a Versatile Compression Toolkit

Ruihao Gong, Yang Yong, Shiqiao Gu, Yushi Huang, Chengtao Lv

Hybrid-RACA: Hybrid Retrieval-Augmented Composition Assistance for Real-time Text Prediction

Menglin Xia, Xuchao Zhang, Camille Couturier, Guoqing Zheng, Saravan Rajmohan

DL-QAT: Weight-Decomposed Low-Rank Quantization-Aware Training for Large Language Models

Wenjing Ke, Zhe Li, Dong Li, Lu Tian, Emad Barsoum

INDUS: Effective and Efficient Language Models for Scientific Applications

Bishwaranjan Bhattacharjee, Aashka Trivedi, Masayasu Muraoka, Muthukumaran Ramasubramanian, Takuma Udagawa

Scaling Parameter-Constrained Language Models with Quality Data

Ernie Chang, Matteo Paltenghi, Yang Li, Pin-Jie Lin, Changsheng Zhao

Retrieval Augmented Spelling Correction for E-Commerce Applications

Xuan Guo, Rohit Patki, Dante Everaert, Christopher Potts

Don’t Shoot The Breeze: Topic Continuity Model Using Nonlinear Naive Bayes With Attention

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

Predicting Entity Salience in Extremely Short Documents

Benjamin Bullough, Harrison Lundberg, Chen Hu, Weihang Xiao

Salient Information Prompting to Steer Content in Prompt-based Abstractive Summarization

Lei Xu, Mohammed Asad Karim, Saket Dingliwal, Aparna Elangovan

The Program Testing Ability of Large Language Models for Code

Weimin Xiong, Yiwen Guo, Hao Chen

Two-tiered Encoder-based Hallucination Detection for Retrieval-Augmented Generation in the Wild

Ilana Zimmerman, Jadin Tredup, Ethan Selfridge, Joseph Bradley

Optimizing Entity Resolution in Voice Interfaces: An ASR-Aware Entity Reference Expansion Approach

Jiangning Chen, Ziyun Zhang, Qianli Hu

LM-Interview: An Easy-to-use Smart Interviewer System via Knowledge-guided Language Model Exploitation

Hanming Li, Jifan Yu, Ruimiao Li, Zhanxin Hao, Yan Xuan

Instruction-Driven Game Engine: A Poker Case Study

Hongqiu Wu, Xingyuan Liu, Yan Wang, Hai Zhao

WildVis: Open Source Visualizer for Million-Scale Chat Logs in the Wild

Yuntian Deng, Wenting Zhao, Jack Hessel, Xiang Ren, Claire Cardie

MIMIR: A Customizable Agent Tuning Platform for Enhanced Scientific Applications

Xiangru Tang, Chunyuan Deng, Hanmin Wang, Haoran Wang, Yilun Zhao

Kandinsky 3: Text-to-Image Synthesis for Multifunctional Generative Framework

Vladimir Arkhipkin, Viacheslav Vasilev, Andrei Filatov, Igor Pavlov, Julia Agafonova

DeepPavlov 1.0: Your Gateway to Advanced NLP Models Backed by Transformers and Transfer Learning

Maksim Savkin, Anastasia Voznyuk, Fedor Ignatov, Anna Korzanova, Dmitry Karpov

RepoAgent: An LLM-Powered Open-Source Framework for Repository-level Code Documentation Generation

Qinyu Luo, Yining Ye, Shihao Liang, Zhong Zhang, Yujia Qin

Sailor: Open Language Models for South-East Asia

Longxu Dou, Qian Liu, Guangtao Zeng, Jia Guo, Jiahui Zhou

AutoTrain: No-code training for state-of-the-art models

Abhishek Thakur

RAGLAB: A Modular and Research-Oriented Unified Framework for Retrieval-Augmented Generation

Xuanwang Zhang, Yun-Ze Song, Yidong Wang, Shuyun Tang, Xinfeng Li