activity
20232026
most citedBLEnD: A Benchmark for LLMs on Everyday Knowledge in Diverse Cultures and Languages

5 citations · 5 across the 9 of their papers we have counts for

collaborators

9 papers

cs.CL2026

DRIP-R: A Benchmark for Decision-Making and Reasoning Under Real-World Policy Ambiguity in the Retail Domain

Hsuvas Borkakoty, Sebastian Pohl, Cheng Wang +2

LLM-based agents are increasingly deployed for routine but consequential tasks in real-world domains, where their behavior is governed by inherently ambiguous domain policies that…

cs.CL2026

Where Knowledge Collides: A Mechanistic Study of Intra-Memory Knowledge Conflict in Language Models

Minh Vu Pham, Hsuvas Borkakoty, Yufang Hou

In language models (LMs), intra-memory knowledge conflict arises when inconsistent information about the same subject is encoded within the model's parametric knowledge. Prior work…

cs.CL2025

Wikipedia is Not a Dictionary, Delete! Text Classification as a Proxy for Analysing Wiki Deletion Discussions

Hsuvas Borkakoty, Luis Espinosa-Anke

Automated content moderation for collaborative knowledge hubs like Wikipedia or Wikidata is an important yet challenging task due to multiple factors. In this paper, we construct a…

cs.CL2024

Automatic Extraction of Metaphoric Analogies from Literary Texts: Task Formulation, Dataset Construction, and Evaluation

Joanne Boisson, Zara Siddique, Hsuvas Borkakoty +3

Extracting metaphors and analogies from free text requires high-level reasoning abilities such as abstraction and language understanding. Our study focuses on the extraction of the…

cs.CL2024

WiDe-analysis: Enabling One-click Content Moderation Analysis on Wikipedia's Articles for Deletion

Hsuvas Borkakoty, Luis Espinosa-Anke

Content moderation in online platforms is crucial for ensuring activity therein adheres to existing policies, especially as these platforms grow. NLP research in this area has typi…

cs.CL2024

CHEW: A Dataset of CHanging Events in Wikipedia

Hsuvas Borkakoty, Luis Espinosa-Anke

We introduce CHEW, a novel dataset of changing events in Wikipedia expressed in naturally occurring text. We use CHEW for probing LLMs for their timeline understanding of Wikipedia…

cs.CL2024★ 5 cited

BLEnD: A Benchmark for LLMs on Everyday Knowledge in Diverse Cultures and Languages

Junho Myung, Nayeon Lee, Yi Zhou +19

Large language models (LLMs) often lack culture-specific knowledge of daily life, especially across diverse regions and non-English languages. Existing benchmarks for evaluating LL…

cs.CL2024

Hoaxpedia: A Unified Wikipedia Hoax Articles Dataset

Hsuvas Borkakoty, Luis Espinosa-Anke

Hoaxes are a recognised form of disinformation created deliberately, with potential serious implications in the credibility of reference knowledge resources such as Wikipedia. What…

cs.CL2023

WIKITIDE: A Wikipedia-Based Timestamped Definition Pairs Dataset

Hsuvas Borkakoty, Luis Espinosa-Anke

A fundamental challenge in the current NLP context, dominated by language models, comes from the inflexibility of current architectures to 'learn' new information. While model-cent…