36 citations · 393 across the 141 of their papers we have counts for
39 papers · 1 filter
Intrinsic Guardrails: How Semantic Geometry of Personality Interacts with Emergent Misalignment in LLMs
Krishak Aneja, Manas Mittal, Anmol Goel +2
Fine-tuning Large Language Models (LLMs) on benign narrow data can sometimes induce broad harmful behaviors, a vulnerability termed emergent misalignment (EM). While prior work lin…
ImplicitBBQ: Benchmarking Implicit Bias in Large Language Models through Characteristic Based Cues
Bhaskara Hanuma Vedula, Darshan Anghan, Ishita Goyal +2
Large Language Models increasingly suppress biased outputs when demographic identity is stated explicitly, yet may still exhibit implicit biases when identity is conveyed indirectl…
PrivacyBench: A Conversational Benchmark for Evaluating Privacy in Personalized AI
Srija Mukhopadhyay, Sathwik Reddy, Shruthi Muthukumar +2
Personalized AI agents rely on access to a user's digital footprint, which often includes sensitive data from private emails, chats and purchase histories. Yet this access creates…
Causal Reasoning Favors Encoders: On The Limits of Decoder-Only Models
Amartya Roy, Elamparithy M, Kripabandhu Ghosh +2
In context learning (ICL) underpins recent advances in large language models (LLMs), although its role and performance in causal reasoning remains unclear. Causal reasoning demands…
Structured Definitions and Segmentations for Legal Reasoning in LLMs: A Study on Indian Legal Data
Mann Khatri, Mirza Yusuf, Rajiv Ratn Shah +1
Large Language Models (LLMs), trained on extensive datasets from the web, exhibit remarkable general reasoning skills. Despite this, they often struggle in specialized areas like l…
Adapting Multilingual Models to Code-Mixed Tasks via Model Merging
Prashant Kodali, Vaishnavi Shivkumar, Swarang Joshi +3
We study model merging as a practical alternative to conventional adaptation strategies for code-mixed NLP. Starting from a multilingual base model, we: (i) perform continued pre-t…