Joty, Shafiq

CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation

Wang, Y., Wang, W., Joty, S., & Hoi, S. C. H. (2021) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 1,495

CodeT5: Identifier-aware Unified Pre-trained Encoder-Decoder Models for Code Understanding and Generation

Wang, Y., Wang, W., Joty, S., & Hoi, S. C. H. (2021) · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing

Software Engineering ResearchTopic Modeling

Cited by 1,495

Align before Fuse: Vision and Language Representation Learning with Momentum Distillation

Li, J., Selvaraju, R. R., Gotmare, A. D., Joty, S., Xiong, C., & Hoi, S. (2021) · arXiv

Multimodal Machine Learning ApplicationsAdvanced Image and Video Retrieval Techniques

Cited by 1,078

Conversational Agents in Health Care: Scoping Review and Conceptual Analysis

Tudor Car, L., Dhinagaran, D. A., Kyaw, B. M., Kowatsch, T., Joty, S., Theng, Y.-L., & Atun, R. (2020) · Journal of Medical Internet Research

Artificial Intelligence in Healthcare and EducationDigital Mental Health Interventions

Cited by 553

GeDi: Generative Discriminator Guided Sequence Generation

Krause, B., Gotmare, A. D., McCann, B., Keskar, N. S., Joty, S., Socher, R., & Rajani, N. F. (2021) · Findings of the Association for Computational Linguistics: EMNLP 2021

Topic ModelingNatural Language Processing Techniques

Cited by 220

Is GPT-3 a Good Data Annotator?

Ding, B., Qin, C., Liu, L., Chia, Y. K., Li, B., Joty, S., & Bing, L. (2023) · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 149

FOLIO: Natural Language Reasoning with First-Order Logic

Han, S., Schoelkopf, H., Zhao, Y., Qi, Z., Riddell, M., Zhou, W., Coady, J., Peng, D., Qiao, Y., Benson, L., et al. (2022) · arXiv

Topic ModelingLogic, Reasoning, and Knowledge

Cited by 35

On Context Utilization in Summarization with Large Language Models

Ravaut, M., Sun, A., Chen, N. F., & Joty, S. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 31

A Structured Learning Approach with Neural Conditional Random Fields for Sleep Staging

Aggarwal, K., Khadanga, S., Joty, S., Kazaglis, L., & Srivastava, J. (2018) · 2018 IEEE International Conference on Big Data (Big Data)

Obstructive Sleep Apnea ResearchSleep and related disorders

Cited by 20

Is GPT-3 a Good Data Annotator?

Ding, B., Qin, C., Liu, L., Chia, Y. K., Joty, S., Li, B., & Bing, L. (2022) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 15

LLMs as Factual Reasoners: Insights from Existing Benchmarks and Beyond

Laban, P., Kryściński, W., Agarwal, D., Fabbri, A. R., Xiong, C., Joty, S., & Wu, C.-S. (2023) · arXiv

Misinformation and Its ImpactsTopic Modeling

Cited by 13

Did You Read the Instructions? Rethinking the Effectiveness of Task Definitions in Instruction Learning

Yin, F., Vig, J., Laban, P., Joty, S., Xiong, C., & Wu, C.-S. J. (2023) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 10

Learning Planning-based Reasoning by Trajectories Collection and Process Reward Synthesizing

Jiao, F., Qin, C., Liu, Z., Chen, N. F., & Joty, S. (2024) · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing

Topic ModelingNatural Language Processing Techniques

Cited by 5

A Survey of Frontiers in LLM Reasoning: Inference Scaling, Learning to Reason, and Agentic Systems

Ke, Z., Jiao, F., Ming, Y., Nguyen, X.-P., Xu, A., Long, D. X., Li, M., Qin, C., Wang, P., Savarese, S., et al. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 4

FaithEval: Can Your Language Model Stay Faithful to Context, Even If "The Moon is Made of Marshmallows"

Ming, Y., Purushwalkam, S., Pandit, S., Ke, Z., Nguyen, X.-P., Xiong, C., & Joty, S. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 3

JudgeRank: Leveraging Large Language Models for Reasoning-Intensive Reranking

Niu, T., Joty, S., Liu, Y., Xiong, C., Zhou, Y., & Yavuz, S. (2024) · arXiv

Information Retrieval and Search BehaviorTopic Modeling

Cited by 2

Learning Planning-based Reasoning by Trajectories Collection and Process Reward Synthesizing

Jiao, F., Qin, C., Liu, Z., Chen, N. F., & Joty, S. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 1

Embrace Divergence for Richer Insights: A Multi-document Summarization Benchmark and a Case Study on Summarizing Diverse Information from News Articles

Huang, K.-H., Laban, P., Fabbri, A. R., Choubey, P. K., Joty, S., Xiong, C., & Wu, C.-S. (2023) · arXiv

Topic ModelingAdvanced Text Analysis Techniques

Cited by 1

Adversarial Unsupervised Representation Learning for Activity Time-Series

Aggarwal, K., Joty, S., Fernandez-Luque, L., & Srivastava, J. (2019) · Proceedings of the AAAI Conference on Artificial Intelligence

Context-Aware Activity Recognition SystemsTime Series Analysis and Forecasting

Cited by 0

MAS-ZERO: Designing Multi-Agent Systems with Zero Supervision

Ke, Z., Xu, A., Ming, Y., Nguyen, X.-P., Chin, R., Xiong, C., & Joty, S. (2025) · arXiv

Multi-Agent Systems and NegotiationAI-based Problem Solving and Planning

Cited by 0