34 citations · 41 across the 14 of their papers we have counts for
15 papers
Last Translation Benchmark
Vilém Zouhar, Niyati Bafna, Mukund Choudhary +241
For scientific progress, we need benchmarks that test the limits of state-of-the-art models, and evaluation methods that inform us about failure cases. As models get stronger, stan…
Common Sense vs. Morality: The Curious Case of Narrative Focus Bias in LLMs
Saugata Purkayastha, Pranav Kushare, Pragya Paramita Pal +1
Large Language Models (LLMs) are increasingly deployed across diverse real-world applications and user communities. As such, it is crucial that these models remain both morally gro…
Reviewing the Reviewer: LLM-Assisted Reviewer Feedback Generation for Guideline Compliance
Sukannya Purkayastha, Qile Wan, Anne Lauscher +2
Peer review is central to scientific quality, yet reliance on simple heuristics, namely lazy thinking and non-specific critiques, has threatened review quality. Prior work frames l…
IDALC: A Semi-Supervised Framework for Intent Detection and Active Learning based Correction
Ankan Mullick, Sukannya Purkayastha, Saransh Sharma +2
Voice-controlled dialog systems have become immensely popular due to their ability to perform a wide range of actions in response to diverse user queries. These agents possess a pr…
Decision-Making with Deliberation: Meta-reviewing as a Document-grounded Dialogue
Sukannya Purkayastha, Nils Dycke, Anne Lauscher +1
Meta-reviewing is a pivotal stage in the peer-review process, serving as the final step in determining whether a paper is recommended for acceptance. Prior research on meta-reviewi…
CaMMT: Benchmarking Culturally Aware Multimodal Machine Translation
Emilio Villa-Cueva, Sholpan Bolatzhanova, Diana Turmakhan +32
Translating cultural content poses challenges for machine translation systems due to the differences in conceptualizations between cultures, where language alone may fail to convey…