Hao Peng

Affiliations:
  • University of Illinois Urbana-Champaign, IL, USA
  • University of Washington, Paul G. Allen School of Computer Science & Engineering, Seattle, WA, USA (PhD 2022)


According to our database1, Hao Peng authored at least 41 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

2017
2018
2019
2020
2021
2022
2023
2024
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Legend:

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In proceedings 
Article 
PhD thesis 
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Other 

Links

On csauthors.net:

Bibliography

2024
Scaling Diffusion Language Models via Adaptation from Autoregressive Models.
CoRR, 2024

FactCheckmate: Preemptively Detecting and Mitigating Hallucinations in LMs.
CoRR, 2024

A Little Goes a Long Way: Efficient Long Context Training and Inference with Partial Contexts.
CoRR, 2024

OpenDevin: An Open Platform for AI Software Developers as Generalist Agents.
CoRR, 2024

A Single Transformer for Scalable Vision-Language Modeling.
CoRR, 2024

Eliminating Position Bias of Language Models: A Mechanistic Approach.
CoRR, 2024

Source-Aware Training Enables Knowledge Attribution in Language Models.
CoRR, 2024

LETI: Learning to Generate from Textual Interactions.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024

LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Language Models Hallucinate, but May Excel at Fact Verification.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Executable Code Actions Elicit Better LLM Agents.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

CRAFT: Customizing LLMs by Creating and Retrieving from Specialized Toolsets.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

TRAM: Bridging Trust Regions and Sharpness Aware Minimization.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language Feedback.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Measuring and Improving Attentiveness to Partial Inputs with Counterfactuals.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

ActionIE: Action Extraction from Scientific Literature with Programming Languages.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023
Transparency Helps Reveal When Language Models Learn Meaning.
Trans. Assoc. Comput. Linguistics, 2023

Catwalk: A Unified Language Model Evaluation Framework for Many Datasets.
CoRR, 2023

Prudent Silence or Foolish Babble? Examining Large Language Models' Responses to the Unknown.
CoRR, 2023

FiLM: Fill-in Language Models for Any-Order Generation.
CoRR, 2023

Efficiency Pentathlon: A Standardized Arena for Efficiency Evaluation.
CoRR, 2023

2022
Towards Efficient and Generalizable Natural Language Processing
PhD thesis, 2022

Modeling Context With Linear Attention for Scalable Document-Level Translation.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Twist Decoding: Diverse Generators Guide Each Other.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

How Much Does Attention Actually Attend? Questioning the Importance of Attention in Pretrained Transformers.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Tailor: Generating and Perturbing Text with Semantic Controls.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

ABC: Attention with Bounded-memory Control.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021
Infusing Finetuning with Semantic Dependencies.
Trans. Assoc. Comput. Linguistics, 2021

Contextualized Perturbation for Textual Adversarial Attack.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Random Feature Attention.
Proceedings of the 9th International Conference on Learning Representations, 2021

Deep Encoder, Shallow Decoder: Reevaluating Non-autoregressive Machine Translation.
Proceedings of the 9th International Conference on Learning Representations, 2021

Finetuning Pretrained Transformers into RNNs.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020
Deep Encoder, Shallow Decoder: Reevaluating the Speed-Quality Tradeoff in Machine Translation.
CoRR, 2020

A Mixture of h - 1 Heads is Better than h Heads.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
PaLM: A Hybrid Parser and Language Model.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

RNN Architecture Learning with Sparse Regularization.
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018
"You are no Jack Kennedy": On Media Selection of Highlights from Presidential Debates.
Proceedings of the 2018 World Wide Web Conference on World Wide Web, 2018

Learning Joint Semantic Parsers from Disjoint Data.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

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

Backpropagating through Structured Argmax using a SPIGOT.
Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017
Deep Multitask Learning for Semantic Dependency Parsing.
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics, 2017


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