collaborators

8 papers

cs.AI2026

Can MLLMs generate human-like feedback in grading multimodal short answers?

Pritam Sil, Pushpak Bhattacharyya, Pawan Goyal +1

In education, the traditional Automatic Short Answer Grading (ASAG) with feedback problem has focused primarily on evaluating text-only responses. However, real-world assessments o…

cs.CL2025

StereoDetect: Detecting Stereotypes and Anti-stereotypes the Correct Way Using Social Psychological Underpinnings

Kaustubh Shivshankar Shejole, Pushpak Bhattacharyya

Stereotypes are known to have very harmful effects, making their detection critically important. However, current research predominantly focuses on detecting and evaluating stereot…

cs.CL2025

ReDepress: A Cognitive Framework for Detecting Depression Relapse from Social Media

Aakash Kumar Agarwal, Saprativa Bhattacharjee, Mauli Rastogi +4

Almost 50% depression patients face the risk of going into relapse. The risk increases to 80% after the second episode of depression. Although, depression detection from social med…

cs.CL2025

Ta-G-T: Subjectivity Capture in Table to Text Generation via RDF Graphs

Ronak Upasham, Tathagata Dey, Pushpak Bhattacharyya

In Table-to-Text (T2T) generation, existing approaches predominantly focus on providing objective descriptions of tabular data. However, generating text that incorporates subjectiv…

cs.CL2025

"I understand why I got this grade": Automatic Short Answer Grading with Feedback

Dishank Aggarwal, Pritam Sil, Bhaskaran Raman +1

In recent years, there has been a growing interest in using Artificial Intelligence (AI) to automate student assessment in education. Among different types of assessments, summativ…

cs.CL2025

"My life is miserable, have to sign 500 autographs everyday": Exposing Humblebragging, the Brags in Disguise

Sharath Naganna, Saprativa Bhattacharjee, Biplab Banerjee +1

Humblebragging is a phenomenon in which individuals present self-promotional statements under the guise of modesty or complaints. For example, a statement like, "Ugh, I can't belie…