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06/02/2023
Fine-Grained Human Feedback Gives Better Rewards for Language Model Training
Language models (LMs) often exhibit undesirable text generation behavior...
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05/11/2023
Evaluating Open-Domain Question Answering in the Era of Large Language Models
Lexical matching remains the de facto evaluation method for open-domain ...
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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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03/30/2023
Elastic Weight Removal for Faithful and Abstractive Dialogue Generation
Ideally, dialogue systems should generate responses that are faithful to...
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04/22/2022
FaithDial: A Faithful Benchmark for Information-Seeking Dialogue
The goal of information-seeking dialogue is to respond to seeker queries...
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04/17/2022
On the Origin of Hallucinations in Conversational Models: Is it the Datasets or the Models?
Knowledge-grounded conversational models are known to suffer from produc...
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06/25/2021
Decomposed Mutual Information Estimation for Contrastive Representation Learning
Recent contrastive representation learning methods rely on estimating mu...
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04/30/2021
Evaluating Groundedness in Dialogue Systems: The BEGIN Benchmark
Knowledge-grounded dialogue agents are systems designed to conduct a con...
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04/17/2021
Neural Path Hunter: Reducing Hallucination in Dialogue Systems via Path Grounding
Dialogue systems powered by large pre-trained language models (LM) exhib...
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04/06/2019
Evaluating Coherence in Dialogue Systems using Entailment
Evaluating open-domain dialogue systems is difficult due to the diversit...
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11/02/2018
