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05/19/2023
Let's Sample Step by Step: Adaptive-Consistency for Efficient Reasoning with LLMs
A popular approach for improving the correctness of output from large la...
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05/15/2023
RL4F: Generating Natural Language Feedback with Reinforcement Learning for Repairing Model Outputs
Despite their unprecedented success, even the largest language models ma...
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05/01/2023
Bridging the Gap: A Survey on Integrating (Human) Feedback for Natural Language Generation
Many recent advances in natural language generation have been fueled by ...
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03/30/2023
Self-Refine: Iterative Refinement with Self-Feedback
Like people, LLMs do not always generate the best text for a given gener...
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02/15/2023
Learning Performance-Improving Code Edits
The waning of Moore's Law has shifted the focus of the tech industry tow...
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11/18/2022
PAL: Program-aided Language Models
Large language models (LLMs) have recently demonstrated an impressive ab...
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10/13/2022
Language Models of Code are Few-Shot Commonsense Learners
We address the general task of structured commonsense reasoning: given a...
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09/16/2022
Text and Patterns: For Effective Chain of Thought, It Takes Two to Tango
Reasoning is a key pillar of human cognition and intelligence. In the pa...
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07/15/2022
FLOWGEN: Fast and slow graph generation
We present FLOWGEN, a graph-generation model inspired by the dual-proces...
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05/25/2022
Conditional set generation using Seq2seq models
Conditional set generation learns a mapping from an input sequence of to...
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01/16/2022
Memory-assisted prompt editing to improve GPT-3 after deployment
Large LMs such as GPT-3, while powerful, are not immune to mistakes, but...
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12/16/2021
Improving scripts with a memory of natural feedback
How can an end-user provide feedback if a deployed structured prediction...
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12/15/2021
Interscript: A dataset for interactive learning of scripts through error feedback
How can an end-user provide feedback if a deployed structured prediction...
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04/18/2021
Improving Neural Model Performance through Natural Language Feedback on Their Explanations
A class of explainable NLP models for reasoning tasks support their deci...
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02/02/2021
The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics
We introduce GEM, a living benchmark for natural language Generation (NL...
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10/20/2020
Neural Language Modeling for Contextualized Temporal Graph Generation
This paper presents the first study on using large-scale pre-trained lan...
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04/29/2020
Politeness Transfer: A Tag and Generate Approach
This paper introduces a new task of politeness transfer which involves c...
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04/24/2020
Practical Comparable Data Collection for Low-Resource Languages via Images
We propose a method of curating high-quality comparable training data fo...
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05/14/2016
