Weakly Supervised Learning of Nuanced Frames for Analyzing Polarization in News Media. - Shamik Roy; Dan Goldwasser (EMNLP (1), 2020)

Analysis of Nuanced Stances and Sentiment Towards Entities of US Politicians through the Lens of Moral Foundation Theory. - Shamik Roy; Dan Goldwasser (SocialNLP@NAACL, 2021)

Identifying Morality Frames in Political Tweets using Relational Learning. - Shamik Roy; Maria Leonor Pacheco; Dan Goldwasser (EMNLP (1), 2021)

Hands-On Interactive Neuro-Symbolic NLP with DRaiL. - Maria Leonor Pacheco; Shamik Roy; Dan Goldwasser (EMNLP (Demos), 2022)

Keyword aware influential community search in large attributed graphs. - Md. Saiful Islam 013; Mohammed Eunus Ali; Yong-Bin Kang; Timos Sellis; Farhana Murtaza Choudhury; Shamik Roy (Inf. Syst., 2022)

"A Tale of Two Movements': Identifying and Comparing Perspectives in #BlackLivesMatter and #BlueLivesMatter Movements-related Tweets using Weakly Supervised Graph-based Structured Prediction. - Shamik Roy; Dan Goldwasser (EMNLP (Findings), 2023)

Weakly Supervised Learning for Analyzing Political Campaigns on Facebook. - Tunazzina Islam; Shamik Roy; Dan Goldwasser (ICWSM, 2023)

Conversation Style Transfer using Few-Shot Learning. - Shamik Roy; Raphael Shu; Nikolaos Pappas 004; Elman Mansimov; Yi Zhang 001; Saab Mansour; Dan Roth 001 (IJCNLP (1), 2023)

Towards Few-Shot Identification of Morality Frames using In-Context Learning. - Shamik Roy; Nishanth Sridhar Nakshatri; Dan Goldwasser (CoRR, 2023)

FLAP: Flow-Adhering Planning with Constrained Decoding in LLMs. - Shamik Roy; Sailik Sengupta; Daniele Bonadiman; Saab Mansour; Arshit Gupta (NAACL-HLT, 2024)

Constrained Decoding with Speculative Lookaheads. - Nishanth Sridhar Nakshatri; Shamik Roy; Rajarshi Das; Suthee Chaidaroon; Leonid Boytsov; Rashmi Gangadharaiah (NAACL (Long Papers), 2025)

FairGen: Controlling Sensitive Attributes for Fair Generations in Diffusion Models via Adaptive Latent Guidance. - Mintong Kang; Vinayshekhar Bannihatti Kumar; Shamik Roy; Abhishek Kumar; Sopan Khosla; Balakrishnan Narayanaswamy; Rashmi Gangadharaiah (CoRR, 2025)