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Articles by
Richard Yuanzhe Pang
Self-Generated Critiques Boost Reward Modeling for Language Models
19 December 2024 by
Yue Yu
and
others
at
Georgia Institute of Technology
Computation and Language
,
Artificial Intelligence
Transformers Struggle to Learn to Search
6 December 2024 by
Abulhair Saparov
and
others
Computation and Language
,
Artificial Intelligence
Self-Consistency Preference Optimization
7 November 2024 by
Archiki Prasad
and
others
Computation and Language
,
Artificial Intelligence
Self-Taught Evaluators
8 August 2024 by
Tianlu Wang
and
others
Computation and Language
,
Artificial Intelligence
Iterative Reasoning Preference Optimization
26 June 2024 by
Richard Yuanzhe Pang
and
others
at
University of York
Computation and Language
,
Artificial Intelligence
An Introduction to Vision-Language Modeling
27 May 2024 by
Florian Bordes
and
others
at
University of York
Machine Learning
Self-Rewarding Language Models
8 February 2024 by
Weizhe Yuan
and
others
Computation and Language
,
Artificial Intelligence
GPQA: A Graduate-Level Google-Proof Q&A Benchmark
20 November 2023 by
David Rein
and
others
at
University of York
Artificial Intelligence
,
Computation and Language
Testing the General Deductive Reasoning Capacity of Large Language Models Using OOD Examples
20 October 2023 by
Abulhair Saparov
and
others
Computation and Language
,
Artificial Intelligence
Leveraging Implicit Feedback from Deployment Data in Dialogue
26 July 2023 by
Richard Yuanzhe Pang
and
others
Computation and Language
Extrapolative Controlled Sequence Generation via Iterative Refinement
1 May 2023 by
Vishakh Padmakumar
and
others
Machine Learning
,
Computation and Language
Reward Gaming in Conditional Text Generation
16 February 2023 by
Richard Yuanzhe Pang
and
others
Computation and Language
,
Artificial Intelligence
What Do NLP Researchers Believe? Results of the NLP Community Metasurvey
26 August 2022 by
Julian Michael
and
others
Computation and Language
,
Artificial Intelligence
Amortized Noisy Channel Neural Machine Translation
18 July 2022 by
Richard Yuanzhe Pang
and
others
Computation and Language
,
Machine Learning
SQuALITY: Building a Long-Document Summarization Dataset the Hard Way
23 May 2022 by
Alex Wang
and
others
Computation and Language
,
Artificial Intelligence
QuALITY: Question Answering with Long Input Texts, Yes!
11 May 2022 by
Richard Yuanzhe Pang
and
others
Computation and Language
Token Dropping for Efficient BERT Pretraining
24 March 2022 by
Le Hou
and
others
Computation and Language
,
Machine Learning
AgreeSum: Agreement-Oriented Multi-Document Summarization
4 June 2021 by
Richard Yuanzhe Pang
and
others
Computation and Language
Comparing Test Sets with Item Response Theory
1 June 2021 by
Clara Vania
and
others
Computation and Language
Text Generation by Learning from Demonstrations
3 March 2021 by
Richard Yuanzhe Pang
and
He He
Computation and Language
,
Machine Learning
Improving Joint Training of Inference Networks and Structured Prediction Energy Networks
10 October 2020 by
Lifu Tu
and
others
Computation and Language
,
Machine Learning
Consistency of a Recurrent Language Model With Respect to Incomplete Decoding
2 October 2020 by
Sean Welleck
and
others
Machine Learning
,
Computation and Language
ENGINE: Energy-Based Inference Networks for Non-Autoregressive Machine Translation
12 May 2020 by
Lifu Tu
and
others
Computation and Language
,
Machine Learning
Intermediate-Task Transfer Learning with Pretrained Models for Natural Language Understanding: When and Why Does It Work?
9 May 2020 by
Yada Pruksachatkun
and
others
Computation and Language
The Daunting Task of Real-World Textual Style Transfer Auto-Evaluation
10 October 2019 by
Richard Yuanzhe Pang
Computation and Language
Unsupervised Evaluation Metrics and Learning Criteria for Non-Parallel Textual Transfer
30 September 2019 by
Richard Yuanzhe Pang
and
Kevin Gimpel
Computation and Language
,
Artificial Intelligence