47 citations · 77 across the 30 of their papers we have counts for
7 papers · 1 filter
BioTABQA: Instruction Learning for Biomedical Table Question Answering
Man Luo, Sharad Saxena, Swaroop Mishra +2
Table Question Answering (TQA) is an important but under-explored task. Most of the existing QA datasets are in unstructured text format and only few of them use tables as the cont…
Is a Question Decomposition Unit All We Need?
Pruthvi Patel, Swaroop Mishra, Mihir Parmar +1
Large Language Models (LMs) have achieved state-of-the-art performance on many Natural Language Processing (NLP) benchmarks. With the growing number of new benchmarks, we build big…
Don't Blame the Annotator: Bias Already Starts in the Annotation Instructions
Mihir Parmar, Swaroop Mishra, Mor Geva +1
In recent years, progress in NLU has been driven by benchmarks. These benchmarks are typically collected by crowdsourcing, where annotators write examples based on annotation instr…
In-BoXBART: Get Instructions into Biomedical Multi-Task Learning
Mihir Parmar, Swaroop Mishra, Mirali Purohit +3
Single-task models have proven pivotal in solving specific tasks; however, they have limitations in real-world applications where multi-tasking is necessary and domain shifts are e…
Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks
Yizhong Wang, Swaroop Mishra, Pegah Alipoormolabashi +37
How well can NLP models generalize to a variety of unseen tasks when provided with task instructions? To address this question, we first introduce Super-NaturalInstructions, a benc…
How Many Data Samples is an Additional Instruction Worth?
Ravsehaj Singh Puri, Swaroop Mishra, Mihir Parmar +1
Recently introduced instruction-paradigm empowers non-expert users to leverage NLP resources by defining a new task in natural language. Instruction-tuned models have significantly…
Less is More: Summary of Long Instructions is Better for Program Synthesis
Kirby Kuznia, Swaroop Mishra, Mihir Parmar +1
Despite the success of large pre-trained language models (LMs) such as Codex, they show below-par performance on the larger and more complicated programming related questions. We s…