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12/20/2022
Interleaving Retrieval with Chain-of-Thought Reasoning for Knowledge-Intensive Multi-Step Questions
Recent work has shown that large language models are capable of generati...
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10/19/2022
Two-Turn Debate Doesn't Help Humans Answer Hard Reading Comprehension Questions
The use of language-model-based question-answering systems to aid humans...
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10/05/2022
Decomposed Prompting: A Modular Approach for Solving Complex Tasks
Few-shot prompting is a surprisingly powerful way to use Large Language ...
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05/25/2022
Teaching Broad Reasoning Skills via Decomposition-Guided Contexts
Question-answering datasets require a broad set of reasoning skills. We ...
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04/11/2022
Single-Turn Debate Does Not Help Humans Answer Hard Reading-Comprehension Questions
Current QA systems can generate reasonable-sounding yet false answers wi...
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09/14/2021
Summarize-then-Answer: Generating Concise Explanations for Multi-hop Reading Comprehension
How can we generate concise explanations for multi-hop Reading Comprehen...
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08/02/2021
MuSiQue: Multi-hop Questions via Single-hop Question Composition
To build challenging multi-hop question answering datasets, we propose a...
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06/02/2021
IrEne: Interpretable Energy Prediction for Transformers
Existing software-based energy measurements of NLP models are not accura...
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06/01/2021
What Ingredients Make for an Effective Crowdsourcing Protocol for Difficult NLU Data Collection Tasks?
Crowdsourcing is widely used to create data for common natural language ...
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05/02/2020
Measuring and Reducing Non-Multifact Reasoning in Multi-hop Question Answering
The measurement of true progress in multihop question-answering has been...
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05/02/2020
DeFormer: Decomposing Pre-trained Transformers for Faster Question Answering
Transformer-based QA models use input-wide self-attention – i.e. across ...
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04/20/2019
