Obserwuj
Swarnadeep Saha
Swarnadeep Saha
Research Scientist, FAIR at Meta
Zweryfikowany adres z meta.com - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
Pre-Training BERT on Domain Resources for Short Answer Grading
C Sung, T Dhamecha, S Saha, T Ma, V Reddy, R Arora
EMNLP 2019, 2019
1372019
Bootstrapping for numerical open ie
S Saha, H Pal, Mausam
ACL 2017, 2017
1212017
Open information extraction from conjunctive sentences
S Saha, Mausam
COLING 2018, 2018
1182018
PRover: Proof Generation for Interpretable Reasoning over Rules
S Saha, S Ghosh, S Srivastava, M Bansal
EMNLP 2020, 2020
912020
Sentence level or token level features for automatic short answer grading?: Use both
S Saha, TI Dhamecha, S Marvaniya, R Sindhgatta, B Sengupta
AIED 2018, 2018
792018
Reconcile: Round-table conference improves reasoning via consensus among diverse llms
JCY Chen, S Saha, M Bansal
ACL 2024, 2023
662023
Branch-solve-merge improves large language model evaluation and generation
S Saha, O Levy, A Celikyilmaz, M Bansal, J Weston, X Li
NAACL 2024, 2023
592023
ExplaGraphs: An Explanation Graph Generation Task for Structured Commonsense Reasoning
S Saha, P Yadav, L Bauer, M Bansal
EMNLP 2021, 2021
582021
ConjNLI: Natural Language Inference Over Conjunctive Sentences
S Saha, Y Nie, M Bansal
EMNLP 2020, 2020
432020
Can Language Models Teach? Teacher Explanations Improve Student Performance via Personalization
S Saha, P Hase, M Bansal
NeurIPS 2023, 2023
40*2023
Creating scoring rubric from representative student answers for improved short answer grading
S Marvaniya, S Saha, TI Dhamecha, P Foltz, R Sindhgatta, B Sengupta
CIKM 2018, 2018
362018
ReCEval: Evaluating Reasoning Chains via Correctness and Informativeness
A Prasad, S Saha, X Zhou, M Bansal
EMNLP 2023, 2023
312023
multiPRover: Generating Multiple Proofs for Improved Interpretability in Rule Reasoning
S Saha, P Yadav, M Bansal
NAACL 2021, 2021
302021
Summarization programs: Interpretable abstractive summarization with neural modular trees
S Saha, S Zhang, P Hase, M Bansal
ICLR 2023, 2022
192022
Joint multi-domain learning for automatic short answer grading
S Saha, TI Dhamecha, S Marvaniya, P Foltz, R Sindhgatta, B Sengupta
arXiv preprint arXiv:1902.09183, 2019
152019
Are Hard Examples also Harder to Explain? A Study with Human and Model-Generated Explanations
S Saha, P Hase, N Rajani, M Bansal
EMNLP 2022, 2022
132022
Balancing human efforts and performance of student response analyzer in dialog-based tutors
TI Dhamecha, S Marvaniya, S Saha, R Sindhgatta, B Sengupta
AIED 2018, 2018
122018
Explanation Graph Generation via Pre-trained Language Models: An Empirical Study with Contrastive Learning
S Saha, P Yadav, M Bansal
ACL 2022, 2022
92022
MURMUR: Modular Multi-Step Reasoning for Semi-Structured Data-to-Text Generation
S Saha, XV Yu, M Bansal, R Pasunuru, A Celikyilmaz
ACL 2023, 2023
72023
System-1. x: Learning to balance fast and slow planning with language models
S Saha, A Prasad, JCY Chen, P Hase, E Stengel-Eskin, M Bansal
ICLR 2025, 2024
52024
Nie można teraz wykonać tej operacji. Spróbuj ponownie później.
Prace 1–20