Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

KTRL+F: Knowledge-Augmented In-Document Search.

[BibT_eX]

[DOI]

Hanseok Oh

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Volcano: Mitigating Multimodal Hallucination through Self-Feedback Guided Revision.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

How Well Do Large Language Models Truly Ground?

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

FLASK: Fine-grained Language Model Evaluation based on Alignment Skill Sets.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Prometheus: Inducing Fine-Grained Evaluation Capability in Language Models.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

SuRe: Summarizing Retrievals using Answer Candidates for Open-domain QA of LLMs.

[BibT_eX]

[DOI]

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Hierarchical Deconstruction of LLM Reasoning: A Graph-Based Framework for Analyzing Knowledge Utilization.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Exploring the Practicality of Generative Retrieval on Dynamic Corpora.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Prometheus 2: An Open Source Language Model Specialized in Evaluating Other Language Models.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Rethinking the Role of Proxy Rewards in Language Model Alignment.

[BibT_eX]

[DOI]

Sungdong Kim

Minjoon Seo

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

On Efficient Language and Vision Assistants for Visually-Situated Natural Language Understanding: What Matters in Reading and Reasoning.

[BibT_eX]

[DOI]

Geewook Kim

Minjoon Seo

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Self-Explore: Enhancing Mathematical Reasoning in Language Models with Fine-grained Rewards.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

LangBridge: Multilingual Reasoning Without Multilingual Supervision.

[BibT_eX]

[DOI]

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Aligning Large Language Models by On-Policy Self-Judgment.

[BibT_eX]

[DOI]

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Prometheus-Vision: Vision-Language Model as a Judge for Fine-Grained Evaluation.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Semiparametric Token-Sequence Co-Supervision.

[BibT_eX]

[DOI]

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Investigating the Effectiveness of Task-Agnostic Prefix Prompt for Instruction Following.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Back to Basics: A Simple Recipe for Improving Out-of-Domain Retrieval in Dense Encoders.

[BibT_eX]

[DOI]

CoRR, 2023

Prometheus: Inducing Fine-grained Evaluation Capability in Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

Zero-Shot Dense Video Captioning by Jointly Optimizing Text and Moment.

[BibT_eX]

[DOI]

CoRR, 2023

A Bayesian Perspective On Training Data Attribution.

[BibT_eX]

[DOI]

Elisa Nguyen

Minjoon Seo

Seong Joon Oh

CoRR, 2023

Continually Updating Generative Retrieval on Dynamic Corpora.

[BibT_eX]

[DOI]

CoRR, 2023

Effortless Integration of Memory Management into Open-Domain Conversation Systems.

[BibT_eX]

[DOI]

CoRR, 2023

In-Context Instruction Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Semi-Parametric Video-Grounded Text Generation.

[BibT_eX]

[DOI]

CoRR, 2023

A Bayesian Approach To Analysing Training Data Attribution In Deep Learning.

[BibT_eX]

[DOI]

Elisa Nguyen

Minjoon Seo

Seong Joon Oh

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Exploring the Benefits of Training Expert Language Models over Instruction Tuning.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

Guess the Instruction! Flipped Learning Makes Language Models Stronger Zero-Shot Learners.

[BibT_eX]

[DOI]

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Efficiently Enhancing Zero-Shot Performance of Instruction Following Model via Retrieval of Soft Prompt.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning.

[BibT_eX]

[DOI]

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Aligning Large Language Models through Synthetic Feedback.

[BibT_eX]

[DOI]

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

An Integrated Search System for Korea Weather Data.

[BibT_eX]

[DOI]

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023, 2023

Towards standardizing Korean Grammatical Error Correction: Datasets and Annotation.

[BibT_eX]

[DOI]

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Gradient Ascent Post-training Enhances Language Model Generalization.

[BibT_eX]

[DOI]

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

Nonparametric Decoding for Generative Retrieval.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

ClaimDiff: Comparing and Contrasting Claims on Contentious Issues.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Knowledge Unlearning for Mitigating Privacy Risks in Language Models.

[BibT_eX]

[DOI]

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Two Examples are Better than One: Context Regularization for Gradient-based Prompt Tuning.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Fixed Input Parameterization for Efficient Prompting.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Retrieval of Soft Prompt Enhances Zero-Shot Task Generalization.

[BibT_eX]

[DOI]

CoRR, 2022

Contextualized Generative Retrieval.

[BibT_eX]

[DOI]

CoRR, 2022

Prompt Injection: Parameterization of Fixed Inputs.

[BibT_eX]

[DOI]

CoRR, 2022

Beyond Fact Verification: Comparing and Contrasting Claims on Contentious Topics.

[BibT_eX]

[DOI]

CoRR, 2022

Generative Retrieval for Long Sequences.

[BibT_eX]

[DOI]

CoRR, 2022

Semi-Structured Query Grounding for Document-Oriented Databases with Deep Retrieval and Its Application to Receipt and POI Matching.

[BibT_eX]

[DOI]

CoRR, 2022

Can Large Language Models Truly Understand Prompts? A Case Study with Negated Prompts.

[BibT_eX]

[DOI]

Joel Jang

Seonghyeon Ye

Minjoon Seo

Proceedings of the Transfer Learning for Natural Language Processing Workshop, 2022

EHRSQL: A Practical Text-to-SQL Benchmark for Electronic Health Records.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

A Multi-Task Benchmark for Korean Legal Language Understanding and Judgement Prediction.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Towards Continual Knowledge Learning of Language Models.

[BibT_eX]

[DOI]

Proceedings of the Tenth International Conference on Learning Representations, 2022

Generative Multi-hop Retrieval.

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

TemporalWiki: A Lifelong Benchmark for Training and Evaluating Ever-Evolving Language Models.

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Data-efficient end-to-end Information Extraction for Statistical Legal Analysis.

[BibT_eX]

[DOI]

Proceedings of the Natural Legal Language Processing Workshop, 2022

2021

ViSeRet: A simple yet effective approach to moment retrieval via fine-grained video segmentation.

[BibT_eX]

[DOI]

Aiden Seungjoon Lee

Hanseok Oh

Minjoon Seo

CoRR, 2021

Designing a Minimal Retrieve-and-Read System for Open-Domain Question Answering.

[BibT_eX]

[DOI]

Sohee Yang

Minjoon Seo

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Cost-effective End-to-end Information Extraction for Semi-structured Document Images.

[BibT_eX]

[DOI]

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Spatial Dependency Parsing for Semi-Structured Document Information Extraction.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

Neural Interface for Web-Scale Knowledge.

[BibT_eX]

[DOI]

Minjoon Seo

PhD thesis, 2020

Is Retriever Merely an Approximator of Reader?

[BibT_eX]

[DOI]

Sohee Yang

Minjoon Seo

CoRR, 2020

Spatial Dependency Parsing for 2D Document Understanding.

[BibT_eX]

[DOI]

CoRR, 2020

NeurIPS 2020 EfficientQA Competition: Systems, Analyses and Lessons Learned.

[BibT_eX]

[DOI]

Proceedings of the NeurIPS 2020 Competition and Demonstration Track, 2020

Syntactic Question Abstraction and Retrieval for Data-Scarce Semantic Parsing.

[BibT_eX]

[DOI]

Proceedings of the Conference on Automated Knowledge Base Construction, 2020

Contextualized Sparse Representations for Real-Time Open-Domain Question Answering.

[BibT_eX]

[DOI]

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Contextualized Sparse Representation with Rectified N-Gram Attention for Open-Domain Question Answering.

[BibT_eX]

[DOI]

CoRR, 2019

A Comprehensive Exploration on WikiSQL with Table-Aware Word Contextualization.

[BibT_eX]

[DOI]

CoRR, 2019

Mixture Content Selection for Diverse Sequence Generation.

[BibT_eX]

[DOI]

Jaemin Cho

Min Joon Seo

Hannaneh Hajishirzi

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Real-Time Open-Domain Question Answering with Dense-Sparse Phrase Index.

[BibT_eX]

[DOI]

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

MRQA 2019 Shared Task: Evaluating Generalization in Reading Comprehension.

[BibT_eX]

[DOI]

Proceedings of the 2nd Workshop on Machine Reading for Question Answering, 2019

2018

Neural Speed Reading via Skim-RNN.

[BibT_eX]

[DOI]

Proceedings of the 6th International Conference on Learning Representations, 2018

Phrase-Indexed Question Answering: A New Challenge for Scalable Document Comprehension.

[BibT_eX]

[DOI]

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2017

Query-Reduction Networks for Question Answering.

[BibT_eX]

[DOI]

Proceedings of the 5th International Conference on Learning Representations, 2017

Bidirectional Attention Flow for Machine Comprehension.

[BibT_eX]

[DOI]

Proceedings of the 5th International Conference on Learning Representations, 2017

Are You Smarter Than a Sixth Grader? Textbook Question Answering for Multimodal Machine Comprehension.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Zero-Shot Relation Extraction via Reading Comprehension.

[BibT_eX]

[DOI]

Proceedings of the 21st Conference on Computational Natural Language Learning (CoNLL 2017), 2017

Question Answering through Transfer Learning from Large Fine-grained Supervision Data.

[BibT_eX]

[DOI]

Sewon Min

Min Joon Seo

Hannaneh Hajishirzi

Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017

2016

Query-Regression Networks for Machine Comprehension.

[BibT_eX]

[DOI]

Min Joon Seo

Hannaneh Hajishirzi

Ali Farhadi

CoRR, 2016

A Diagram is Worth a Dozen Images.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2016, 2016

2015

Solving Geometry Problems: Combining Text and Diagram Interpretation.

[BibT_eX]

[DOI]

Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, 2015

2014

Bilicam: using mobile phones to monitor newborn jaundice.

[BibT_eX]

[DOI]

Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing, 2014

Diagram Understanding in Geometry Questions.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

Minjoon Seo

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