You don't need a personality test to know these models are unreliable: Assessing the Reliability of Large Language Models on Psychometric Instruments.

[BibT_eX]

[DOI]

Bangzhao Shu

Lechen Zhang

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

Understanding the Capabilities and Limitations of Large Language Models for Cultural Commonsense.

[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

Code Models are Zero-shot Precondition Reasoners.

[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

Enhancing Fusion-in-Decoder for Multi-Granularity Ranking.

[BibT_eX]

[DOI]

Proceedings of the Workshop Information Retrieval's Role in RAG Systems (IR-RAG 2024) co-located with the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2024), 2024

Degeneration-free Policy Optimization: RL Fine-Tuning for Language Models without Degeneration.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

When "A Helpful Assistant" Is Not Really Helpful: Personas in System Prompts Do Not Improve Performances of Large Language Models.

[BibT_eX]

[DOI]

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

Prospector: Improving LLM Agents with Self-Asking and Trajectory Ranking.

[BibT_eX]

[DOI]

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

Show, Think, and Tell: Thought-Augmented Fine-Tuning of Large Language Models for Video Captioning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Small Language Models Need Strong Verifiers to Self-Correct Reasoning.

[BibT_eX]

[DOI]

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

Semantic Skill Grounding for Embodied Instruction-Following in Cross-Domain Environments.

[BibT_eX]

[DOI]

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

LG AI Research & KAIST at EHRSQL 2024: Self-Training Large Language Models with Pseudo-Labeled Unanswerable Questions for a Reliable Text-to-SQL System on EHRs.

[BibT_eX]

[DOI]

Proceedings of the 6th Clinical Natural Language Processing Workshop, 2024

YTCommentQA: Video Question Answerability in Instructional Videos.

[BibT_eX]

[DOI]

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

Learning to Unlearn: Instance-Wise Unlearning for Pre-trained Classifiers.

[BibT_eX]

[DOI]

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

Co-Creating Question-and-Answer Style Articles with Large Language Models for Research Promotion.

[BibT_eX]

[DOI]

Proceedings of the Designing Interactive Systems Conference, 2024

2023

Curve Your Attention: Mixed-Curvature Transformers for Graph Representation Learning.

[BibT_eX]

[DOI]

CoRR, 2023

3D Denoisers are Good 2D Teachers: Molecular Pretraining via Denoising and Cross-Modal Distillation.

[BibT_eX]

[DOI]

CoRR, 2023

Exploring Demonstration Ensembling for In-context Learning.

[BibT_eX]

[DOI]

CoRR, 2023

Discriminator-Guided Multi-step Reasoning with Language Models.

[BibT_eX]

[DOI]

CoRR, 2023

Multimodal Subtask Graph Generation from Instructional Videos.

[BibT_eX]

[DOI]

CoRR, 2023

SafeDICE: Offline Safe Imitation Learning with Non-Preferred Demonstrations.

[BibT_eX]

[DOI]

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

Projection Regret: Reducing Background Bias for Novelty Detection via Diffusion Models.

[BibT_eX]

[DOI]

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

Neural Stochastic Differential Games for Time-series Analysis.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

QASA: Advanced Question Answering on Scientific Articles.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

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

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2023

From Heuristic to Analytic: Cognitively Motivated Strategies for Coherent Physical Commonsense Reasoning.

[BibT_eX]

[DOI]

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

Merging Generated and Retrieved Knowledge for Open-Domain QA.

[BibT_eX]

[DOI]

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

GRACE: Discriminator-Guided Chain-of-Thought Reasoning.

[BibT_eX]

[DOI]

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

On Sample-Efficient Code Generation.

[BibT_eX]

[DOI]

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

Rebalancing Batch Normalization for Exemplar-Based Class-Incremental Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Unsupervised Task Graph Generation from Instructional Video Transcripts.

[BibT_eX]

[DOI]

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

When to Read Documents or QA History: On Unified and Selective Open-domain QA.

[BibT_eX]

[DOI]

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

Few-shot Reranking for Multi-hop QA via Language Model Prompting.

[BibT_eX]

[DOI]

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

Grouping Matrix Based Graph Pooling with Adaptive Number of Clusters.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Pure Transformers are Powerful Graph Learners.

[BibT_eX]

[DOI]

CoRR, 2022

Is Continual Learning Truly Learning Representations Continually?

[BibT_eX]

[DOI]

CoRR, 2022

LEPUS: Prompt-based Unsupervised Multi-hop Reranking for Open-domain QA.

[BibT_eX]

[DOI]

CoRR, 2022

Task-Balanced Batch Normalization for Exemplar-based Class-Incremental Learning.

[BibT_eX]

[DOI]

CoRR, 2022

Pure Transformers are Powerful Graph Learners.

[BibT_eX]

[DOI]

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

Transferring Pre-trained Multimodal Representations with Cross-modal Similarity Matching.

[BibT_eX]

[DOI]

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

CEDe: A collection of expert-curated datasets with atom-level entity annotations for Optical Chemical Structure Recognition.

[BibT_eX]

[DOI]

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

Transformers meet Stochastic Block Models: Attention with Data-Adaptive Sparsity and Cost.

[BibT_eX]

[DOI]

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

Few-shot Subgoal Planning with Language Models.

[BibT_eX]

[DOI]

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Symbolic Music Loop Generation with Neural Discrete Representations.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Society for Music Information Retrieval Conference, 2022

Path-Aware and Structure-Preserving Generation of Synthetically Accessible Molecules.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Machine Learning, 2022

2021

On-the-fly Rectification for Robust Large-Vocabulary Topic Inference.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Prior-aware Composition Inference for Spectral Topic Models.

[BibT_eX]

[DOI]

Moontae Lee

David Bindel

David Mimno

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Practical Correlated Topic Modeling and Analysis via the Rectified Anchor Word Algorithm.

[BibT_eX]

[DOI]

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

2018

Joint-Stochastic Spectral Inference for Robust Co-occurence Modeling and Latent Topic Analysis.

[BibT_eX]

Moontae Lee

PhD thesis, 2018

2017

Prior-aware Dual Decomposition: Document-specific Topic Inference for Spectral Topic Models.

[BibT_eX]

[DOI]

Moontae Lee

David Bindel

David M. Mimno