Built with and by Teycir Ben Soltane•
How to Use•FAQ•GitHub•arXiv.org•
Share:
ArXivCSExplorer
☆☆Bookmarks🏆RSSHow to UseFAQ
Home/Authors/Koustuv Saha

Koustuv Saha

4 indexed papers

Recent (6 mo)
4
With code
0
Influential cites
0
Benchmarked
0

Publications per year

4
26

Top categories

HCI×4AI×4NLP×4Society×4Social Networks×2

Frequent co-authors

Soorya Ram Shimgekar2×
Agam Goyal2×
Eshwar Chandrasekharan2×
Dong Whi Yoo2×
Yueshen Li1×
Hanyi Min1×

Research Timeline

2026
LLUMI: Improving LLM Writing Assistance for Mental Health Support with Online Community Feedback

The paper introduces LLUMI, an open-source framework that improves LLM writing assistance for mental health support using community feedback, demonstrating comparable performance to proprietary models while enhancing privacy.

Inform, Coach, Relate, Listen: Auditing LLM Caregiving Support Roles

This study demonstrates that an LLM's assigned support role (e.g., Inform, Coach, Relate) significantly alters its safety profile and the types of risks it presents when assisting users in complex caregiving situations.

TUX: Measuring Human--AI Tacit Understanding

The paper introduces the Tacit Understanding Index (TUX) to measure non-explicit alignment between humans and LLMs, finding that this alignment is significantly structured by individual person-level traits rather than simple random similarity.

Toxic HallucinAItions: Perturbing Prompts and Tracing LLM Circuits

The paper demonstrates that increasing the toxicity of prompts significantly degrades the factual reliability of LLMs, a degradation linked to the selective amplification of perturbation-sensitive nodes within the model's internal circuits.

Highlighted terms show continued research focus across papers

Papers

cs.HCcs.AIcs.CLRecentMay 29, 2026

TUX: Measuring Human--AI Tacit Understanding

Yueshen Li, Hanyi Min, Vedant Das Swain, Koustuv Saha

The paper introduces the Tacit Understanding Index (TUX) to measure non-explicit alignment between humans and LLMs, finding that this alignment is significantly structured by individual person-level t…

View →
cs.CLcs.AIcs.CYRecentMay 29, 2026

Toxic HallucinAItions: Perturbing Prompts and Tracing LLM Circuits

Soorya Ram Shimgekar, Agam Goyal, Amruta Parulekar, Joshua Chen +5 more

The paper demonstrates that increasing the toxicity of prompts significantly degrades the factual reliability of LLMs, a degradation linked to the selective amplification of perturbation-sensitive nod…

View →
cs.HCcs.AIcs.CLRecentMay 28, 2026

LLUMI: Improving LLM Writing Assistance for Mental Health Support with Online Community Feedback

Jiwon Kim, Maya Ajit, Sherry Gong, Soorya Ram Shimgekar +3 more

The paper introduces LLUMI, an open-source framework that improves LLM writing assistance for mental health support using community feedback, demonstrating comparable performance to proprietary models…

View →
cs.HCcs.AIcs.CLRecentMay 28, 2026

Inform, Coach, Relate, Listen: Auditing LLM Caregiving Support Roles

Drishti Goel, Agam Goyal, Veda Duddu, Olivia Pal +7 more

This study demonstrates that an LLM's assigned support role (e.g., Inform, Coach, Relate) significantly alters its safety profile and the types of risks it presents when assisting users in complex car…

View →