Swarnadeep Saha

About Swarnadeep Saha

Swarnadeep Saha, With an exceptional h-index of 11 and a recent h-index of 11 (since 2020), a distinguished researcher at University of North Carolina at Chapel Hill, specializes in the field of Natural Language Processing, Machine Learning, Deep Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

MAGDi: Structured Distillation of Multi-Agent Interaction Graphs Improves Reasoning in Smaller Language Models

Can Language Models Teach? Teacher Explanations Improve Student Performance via Personalization

Branch-solve-merge improves large language model evaluation and generation

Reconcile: Round-table conference improves reasoning via consensus among diverse llms

ReCEval: Evaluating Reasoning Chains via Correctness and Informativeness

MURMUR: Modular Multi-Step Reasoning for Semi-Structured Data-to-Text Generation

Are Hard Examples also Harder to Explain? A Study with Human and Model-Generated Explanations

Summarization programs: Interpretable abstractive summarization with neural modular trees

Swarnadeep Saha Information

University

Position

___

Citations(all)

666

Citations(since 2020)

652

Cited By

141

hIndex(all)

11

hIndex(since 2020)

11

i10Index(all)

13

i10Index(since 2020)

12

Email

University Profile Page

Google Scholar

Swarnadeep Saha Skills & Research Interests

Natural Language Processing

Machine Learning

Deep Learning

Top articles of Swarnadeep Saha

MAGDi: Structured Distillation of Multi-Agent Interaction Graphs Improves Reasoning in Smaller Language Models

arXiv preprint arXiv:2402.01620

2024/2/2

Can Language Models Teach? Teacher Explanations Improve Student Performance via Personalization

2023/11/2

Branch-solve-merge improves large language model evaluation and generation

arXiv preprint arXiv:2310.15123

2023/10/23

Reconcile: Round-table conference improves reasoning via consensus among diverse llms

arXiv preprint arXiv:2309.13007

2023/9/22

Swarnadeep Saha
Swarnadeep Saha

H-Index: 6

Mohit Bansal
Mohit Bansal

H-Index: 39

ReCEval: Evaluating Reasoning Chains via Correctness and Informativeness

EMNLP 2023

2023/4/21

MURMUR: Modular Multi-Step Reasoning for Semi-Structured Data-to-Text Generation

2023

Swarnadeep Saha
Swarnadeep Saha

H-Index: 6

Mohit Bansal
Mohit Bansal

H-Index: 39

Are Hard Examples also Harder to Explain? A Study with Human and Model-Generated Explanations

EMNLP 2022

2022/11/14

Summarization programs: Interpretable abstractive summarization with neural modular trees

2022/9/21

Explanation Graph Generation via Pre-trained Language Models: An Empirical Study with Contrastive Learning

ACL 2022

2022/4/11

multiPRover: Generating Multiple Proofs for Improved Interpretability in Rule Reasoning

2021/6

ExplaGraphs: An Explanation Graph Generation Task for Structured Commonsense Reasoning

arXiv preprint arXiv:2104.07644

2021/4/15

ConjNLI: Natural Language Inference Over Conjunctive Sentences

2020/10/20

PRover: Proof Generation for Interpretable Reasoning over Rules

arXiv preprint arXiv:2010.02830

2020/10/6

See List of Professors in Swarnadeep Saha University(University of North Carolina at Chapel Hill)

Co-Authors

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