Swaroop Mishra

According to our database1, Swaroop Mishra authored at least 57 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Links

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Bibliography

2024
In-Context Principle Learning from Mistakes.
CoRR, 2024

Self-Discover: Large Language Models Self-Compose Reasoning Structures.
CoRR, 2024

2023
Beyond ChatBots: ExploreLLM for Structured Thoughts and Personalized Model Responses.
CoRR, 2023

Instruction-Following Evaluation for Large Language Models.
CoRR, 2023

TarGEN: Targeted Data Generation with Large Language Models.
CoRR, 2023

AutoMix: Automatically Mixing Language Models.
CoRR, 2023

Take a Step Back: Evoking Reasoning via Abstraction in Large Language Models.
CoRR, 2023

How FaR Are Large Language Models From Agents with Theory-of-Mind?
CoRR, 2023

Large Language Models Cannot Self-Correct Reasoning Yet.
CoRR, 2023

Let's Do a Thought Experiment: Using Counterfactuals to Improve Moral Reasoning.
CoRR, 2023

Instruction Tuned Models are Quick Learners.
CoRR, 2023

InstructABSA: Instruction Learning for Aspect Based Sentiment Analysis.
CoRR, 2023

InstructExcel: A Benchmark for Natural Language Instruction in Excel.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

How Many Data Samples is an Additional Instruction Worth?
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

Don't Blame the Annotator: Bias Already Starts in the Annotation Instructions.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

"John is 50 years old, can his son be 65?" Evaluating NLP Models' Understanding of Feasibility.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Real-Time Visual Feedback to Guide Benchmark Creation: A Human-and-Metric-in-the-Loop Workflow.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Self-Instruct: Aligning Language Models with Self-Generated Instructions.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

HELP ME THINK: A Simple Prompting Strategy for Non-experts to Create Customized Content with Models.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Self-Instruct: Aligning Language Model with Self Generated Instructions.
CoRR, 2022

Pretrained Transformers Do not Always Improve Robustness.
CoRR, 2022

Hardness of Samples Need to be Quantified for a Reliable Evaluation System: Exploring Potential Opportunities with a New Task.
CoRR, 2022

A Survey of Parameters Associated with the Quality of Benchmarks in NLP.
CoRR, 2022

Investigating the Failure Modes of the AUC metric and Exploring Alternatives for Evaluating Systems in Safety Critical Applications.
CoRR, 2022

Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering.
CoRR, 2022

Let the Model Decide its Curriculum for Multitask Learning.
CoRR, 2022

Benchmarking Generalization via In-Context Instructions on 1, 600+ Language Tasks.
CoRR, 2022

In-BoXBART: Get Instructions into Biomedical Multi-Task Learning.
CoRR, 2022

A Proposal to Study "Is High Quality Data All We Need?".
CoRR, 2022

Towards Improving Selective Prediction Ability of NLP Systems.
Proceedings of the 7th Workshop on Representation Learning for NLP, 2022

Learn to Explain: Multimodal Reasoning via Thought Chains for Science Question Answering.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

In-BoXBART: Get Instructions into Biomedical Multi-Task Learning.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022


Is a Question Decomposition Unit All We Need?
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

LILA: A Unified Benchmark for Mathematical Reasoning.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Less is More: Summary of Long Instructions is Better for Program Synthesis.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

BioTABQA: Instruction Learning for Biomedical Table Question Answering.
Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, Bologna, Italy, September 5th - to, 2022

Investigating Selective Prediction Approaches Across Several Tasks in IID, OOD, and Adversarial Settings.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

ILDAE: Instance-Level Difficulty Analysis of Evaluation Data.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

NumGLUE: A Suite of Fundamental yet Challenging Mathematical Reasoning Tasks.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Cross-Task Generalization via Natural Language Crowdsourcing Instructions.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

Generalized but not Robust? Comparing the Effects of Data Modification Methods on Out-of-Domain Generalization and Adversarial Robustness.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021
Reframing Instructional Prompts to GPTk's Language.
CoRR, 2021

Development of User-friendly Smart Grid Architecture.
CoRR, 2021

Interviewer-Candidate Role Play: Towards Developing Real-World NLP Systems.
CoRR, 2021

Front Contribution instead of Back Propagation.
CoRR, 2021

Natural Instructions: Benchmarking Generalization to New Tasks from Natural Language Instructions.
CoRR, 2021

Commonsense Reasoning with Implicit Knowledge in Natural Language.
Proceedings of the 3rd Conference on Automated Knowledge Base Construction, 2021

Constructing Flow Graphs from Procedural Cybersecurity Texts.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

How Robust are Model Rankings : A Leaderboard Customization Approach for Equitable Evaluation.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
It's better to say "I can't answer" than answering incorrectly: Towards Safety critical NLP systems.
CoRR, 2020

DQI: A Guide to Benchmark Evaluation.
CoRR, 2020

Our Evaluation Metric Needs an Update to Encourage Generalization.
CoRR, 2020

Towards Question Format Independent Numerical Reasoning: A Set of Prerequisite Tasks.
CoRR, 2020

DQI: Measuring Data Quality in NLP.
CoRR, 2020

Do We Need to Create Big Datasets to Learn a Task?
Proceedings of SustaiNLP: Workshop on Simple and Efficient Natural Language Processing, 2020

2019
Exploring ways to incorporate additional knowledge to improve Natural Language Commonsense Question Answering.
CoRR, 2019


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