1 citations · 3 across the 10 of their papers we have counts for
3 papers · 1 filter
Style over Substance? Linguistic Bias in LLM-based Peer Review Copy title
Sai Suresh Macharla Vasu, Sumedh Santosh Joshi, Philipp Christmann +6
The number of paper submissions to major AI conferences has increased dramatically in recent years, substantially increasing the peer-review workload of researchers. At the same ti…
Funny or Persuasive, but Not Both: Evaluating Fine-Grained Multi-Concept Control in LLMs
Arya Labroo, Ivaxi Sheth, Vyas Raina +2
Large Language Models (LLMs) offer strong generative capabilities, but many applications require explicit and \textit{fine-grained} control over specific textual concepts, such as…
CausalGraph2LLM: Evaluating LLMs for Causal Queries
Ivaxi Sheth, Bahare Fatemi, Mario Fritz
Causality is essential in scientific research, enabling researchers to interpret true relationships between variables. These causal relationships are often represented by causal gr…