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ORCIDNAACL 2024: Mexico City, Mexico - Industry Track
- Yi Yang, Aida Davani, Avi Sil, Anoop Kumar:
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Track, NAACL 2024, Mexico City, Mexico, June 16-21, 2024. Association for Computational Linguistics 2024, ISBN 979-8-89176-120-9 - Ruilong Ma, Xiang Yang, Jing Wang, Qi Qi, Haifeng Sun, Zirui Zhuang, Jianxin Liao:
HPipe: Large Language Model Pipeline Parallelism for Long Context on Heterogeneous Cost-effective Devices. 1-9 - Jie Ou, Yueming Chen, Wenhong Tian:
Lossless Acceleration of Large Language Model via Adaptive N-gram Parallel Decoding. 10-22 - Sanghoon Kim, Dahyun Kim, Chanjun Park, Wonsung Lee, Wonho Song, Yunsu Kim, Hyeonwoo Kim, Yungi Kim, Hyeonju Lee, Jihoo Kim, Changbae Ahn, Seonghoon Yang, Sukyung Lee, Hyunbyung Park, Gyoungjin Gim, Mikyoung Cha, Hwalsuk Lee, Sunghun Kim:
SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling. 23-35 - Wei Li, Fu-Lin Hsu, William Bishop, Folawiyo Campbell-Ajala, Max Lin, Oriana Riva:
UINav: A Practical Approach to Train On-Device Automation Agents. 36-51 - Achintya Kundu, Fabian Lim, Aaron Chew, Laura Wynter, Penny Chong, Rhui Dih Lee:
Efficiently Distilling LLMs for Edge Applications. 52-62 - Jiaxin Pei, Soumya Vadlamannati, Liang-Kang Huang, Daniel Preotiuc-Pietro, Xinyu Hua:
Modeling and Detecting Company Risks from News. 63-72 - Peng Tang, Srikar Appalaraju, R. Manmatha, Yusheng Xie, Vijay Mahadevan:
Multiple-Question Multiple-Answer Text-VQA. 73-88 - Xiaochen Liu, Bowei Zou, AiTi Aw:
An NLP-Focused Pilot Training Agent for Safe and Efficient Aviation Communication. 89-96 - Yijun Qian, Yujie Lu, Alexander Hauptmann, Oriana Riva:
Visual Grounding for User Interfaces. 97-107 - Valentin Leonhard Buchner, Lele Cao, Jan-Christoph Kalo, Vilhelm von Ehrenheim:
Prompt Tuned Embedding Classification for Industry Sector Allocation. 108-118 - Nacime Bouziani, Shubhi Tyagi, Joseph Fisher, Jens Lehmann, Andrea Pierleoni:
REXEL: An End-to-end Model for Document-Level Relation Extraction and Entity Linking. 119-130 - Mingbin Xu, Alex Jin, Sicheng Wang, Mu Su, Tim Ng, Henry Mason, Shiyi Han, Zhihong Lei, Yaqiao Deng, Zhen Huang, Mahesh Krishnamoorthy:
Conformer-Based Speech Recognition On Extreme Edge-Computing Devices. 131-139 - Mert Inan, Katherine Atwell, Anthony Sicilia, Lorna C. Quandt, Malihe Alikhani:
Generating Signed Language Instructions in Large-Scale Dialogue Systems. 140-154 - Myeongjun Jang, Gábor Stikkel:
Leveraging Natural Language Processing and Large Language Models for Assisting Due Diligence in the Legal Domain. 155-164 - Xingwei He, Zhenghao Lin, Yeyun Gong, A-Long Jin, Hang Zhang, Chen Lin, Jian Jiao, Siu Ming Yiu, Nan Duan, Weizhu Chen:
AnnoLLM: Making Large Language Models to Be Better Crowdsourced Annotators. 165-190 - Ashlesha Akella, Abhijit Manatkar, Brijkumar Chavda, Hima Patel:
An Automatic Prompt Generation System for Tabular Data Tasks. 191-200 - Haitham Hammami, Louis Baligand, Bojan Petrovski:
Fighting crime with Transformers: Empirical analysis of address parsing methods in payment data. 201-212 - Brian Hu, Bill Ray, Alice Leung, Amy Summerville, David Joy, Christopher Funk, Arslan Basharat:
Language Models are Alignable Decision-Makers: Dataset and Application to the Medical Triage Domain. 213-227 - Orlando Ayala, Patrice Béchard:
Reducing hallucination in structured outputs via Retrieval-Augmented Generation. 228-238 - Ram Yazdi, Oren Kalinsky, Alexander Libov, Dafna Shahaf:
Towards Translating Objective Product Attributes Into Customer Language. 239-247 - Sachin Konan, Larry Rudolph, Scott Affens:
Automating the Generation of a Functional Semantic Types Ontology with Foundational Models. 248-265 - Sandeep Sricharan Mukku, Abinesh Kanagarajan, Pushpendu Ghosh, Chetan Aggarwal:
Leveraging Customer Feedback for Multi-modal Insight Extraction. 266-278 - Yiyun Zhao, Prateek Singh, Hanoz Bhathena, Bernardo Ramos, Aviral Joshi, Swaroop Gadiyaram, Saket Sharma:
Optimizing LLM Based Retrieval Augmented Generation Pipelines in the Financial Domain. 279-294 - Jacob Striebel, Abishek Edikala, Ethan Irby, Alex Rosenfeld, J. Gage, Daniel Dakota, Sandra Kübler:
Scaling Up Authorship Attribution. 295-302 - Md Messal Monem Miah, Ulie Schnaithmann, Arushi Raghuvanshi, Youngseo Son:
Multimodal Contextual Dialogue Breakdown Detection for Conversational AI Models. 303-314 - Zelin Wu, Gan Song, Christopher Li, Pat Rondon, Zhong Meng, Xavier Velez, Weiran Wang, Diamantino Caseiro, Golan Pundak, Tsendsuren Munkhdalai, Angad Chandorkar, Rohit Prabhavalkar:
Deferred NAM: Low-latency Top-K Context Injection via Deferred Context Encoding for Non-Streaming ASR. 315-323 - Tong Wang, Ninad Kulkarni, Yanjun Qi:
Less is More for Improving Automatic Evaluation of Factual Consistency. 324-334 - Myeongjun Jang, Antonios Georgiadis, Yiyun Zhao, Fran Silavong:
DriftWatch: A Tool that Automatically Detects Data Drift and Extracts Representative Examples Affected by Drift. 335-346 - Amin Hosseiny Marani, Ulie Schnaithmann, Youngseo Son, Akil Iyer, Manas Paldhe, Arushi Raghuvanshi:
Graph Integrated Language Transformers for Next Action Prediction in Complex Phone Calls. 347-358 - Jinghan Jia, Abi Komma, Timothy Leffel, Xujun Peng, Ajay Nagesh, Tamer Soliman, Aram Galstyan, Anoop Kumar:
Leveraging LLMs for Dialogue Quality Measurement. 359-367 - Maria Mora-Cross, Saúl Calderón Ramírez:
Uncertainty Estimation in Large Language Models to Support Biodiversity Conservation. 368-378 - Shengkun Wang, Taoran Ji, Jianfeng He, Mariam Almutairi, Dan Wang, Linhan Wang, Min Zhang, Chang-Tien Lu:
AMA-LSTM: Pioneering Robust and Fair Financial Audio Analysis for Stock Volatility Prediction. 379-386 - Xue-Yong Fu, Md. Tahmid Rahman Laskar, Elena Khasanova, Cheng Chen, Shashi Bhushan TN:
Tiny Titans: Can Smaller Large Language Models Punch Above Their Weight in the Real World for Meeting Summarization? 387-394 - J. Pablo Muñoz, Jinjie Yuan, Nilesh Jain:
Shears: Unstructured Sparsity with Neural Low-rank Adapter Search. 395-405 - Dongyub Lee, Younghun Jeong, Hwa-Yeon Kim, Hongyeon Yu, Seunghyun Han, Taesun Whang, Seungwoo Cho, Chanhee Lee, Gunsu Lee, Youngbum Kim:
Tree-of-Question: Structured Retrieval Framework for Korean Question Answering Systems. 406-418 - Jisoo Mok, Mohammad Kachuee, Shuyang Dai, Shayan Ray, Tara Taghavi, Sungroh Yoon:
LLM-based Frameworks for API Argument Filling in Task-Oriented Conversational Systems. 419-426 - Teja Kanchinadam, Shaheen Gauher:
Large Language Models Encode the Practice of Medicine. 427-436 - Nikhita Vedula, Giuseppe Castellucci, Eugene Agichtein, Oleg Rokhlenko, Shervin Malmasi:
Leveraging Interesting Facts to Enhance User Engagement with Conversational Interfaces. 437-446 - Yuki Nakayama, Ryutaro Tatsushima, Erick Mendieta, Koji Murakami, Keiji Shinzato:
Search Query Refinement for Japanese Named Entity Recognition in E-commerce Domain. 447-452 - Henry Peng Zou, Gavin Heqing Yu, Ziwei Fan, Dan Bu, Han Liu, Peng Dai, Dongmei Jia, Cornelia Caragea:
EIVEN: Efficient Implicit Attribute Value Extraction using Multimodal LLM. 453-463 - Dehai Min, Nan Hu, Rihui Jin, Nuo Lin, Jiaoyan Chen, Yongrui Chen, Yu Li, Guilin Qi, Yun Li, Nijun Li, Qianren Wang:
Exploring the Impact of Table-to-Text Methods on Augmenting LLM-based Question Answering with Domain Hybrid Data. 464-482 - Jihai Zhang, Wei Wang, Siyan Guo, Li Wang, Fangquan Lin, Cheng Yang, Wotao Yin:
Solving General Natural-Language-Description Optimization Problems with Large Language Models. 483-490 - Prashanth Vijayaraghavan, Hongzhi Wang, Luyao Shi, Tyler Baldwin, David Beymer, Ehsan Degan:
Self-Regulated Data-Free Knowledge Amalgamation for Text Classification. 491-502
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