24 citations · 40 across the 21 of their papers we have counts for
11 papers · 1 filter
LCoT-GV: Graph Attention Networks for Verifying Long Reasoning Chains in Large Language Models
Bérénice Jaulmes, Mehwish Alam
Large Reasoning Models produce Long Chains-of-Thought (LCoTs) which involve breaking down the problem into smaller reasoning steps before reaching the conclusion. However, these st…
ReLTEx: Reliable LLM-based Taxonomy Expansion
Zeinab Ghamlouch, Mehwish Alam
Recent advances in Large Language Models (LLMs) have demonstrated strong capabilities in generating semantically relevant concepts and relations, making them promising tools for ta…
ENEIDE: A High Quality Silver Standard Dataset for Named Entity Recognition and Linking in Historical Italian
Cristian Santini, Sebastian Barzaghi, Paolo Sernani +3
This paper introduces ENEIDE (Extracting Named Entities from Italian Digital Editions), a silver standard dataset for Named Entity Recognition and Linking (NERL) in historical Ital…
Analysing Lightweight Large Language Models for Biomedical Named Entity Recognition on Diverse Ouput Formats
Pierre Epron, Adrien Coulet, Mehwish Alam
Despite their strong linguistic capabilities, Large Language Models (LLMs) are computationally demanding and require substantial resources for fine-tuning, which is unadapted to pr…
It's All About the Confidence: An Unsupervised Approach for Multilingual Historical Entity Linking using Large Language Models
Cristian Santini, Marieke Van Erp, Mehwish Alam
Despite the recent advancements in NLP with the advent of Large Language Models (LLMs), Entity Linking (EL) for historical texts remains challenging due to linguistic variation, no…
Thinking Before Constraining: A Unified Decoding Framework for Large Language Models
Ngoc Trinh Hung Nguyen, Alonso Silva, Laith Zumot +3
Natural generation allows Large Language Models (LLMs) to produce free-form responses with rich reasoning, yet the lack of structure makes outputs difficult to verify. Conversely,…
DELICATE: Diachronic Entity LInking using Classes And Temporal Evidence
Cristian Santini, Sebastian Barzaghi, Paolo Sernani +2
In spite of the remarkable advancements in the field of Natural Language Processing, the task of Entity Linking (EL) remains challenging in the field of humanities due to complex d…
T-REX: Table -- Refute or Entail eXplainer
Tim Luka Horstmann, Baptiste Geisenberger, Mehwish Alam
Verifying textual claims against structured tabular data is a critical yet challenging task in Natural Language Processing with broad real-world impact. While recent advances in La…
Entity Type Prediction Leveraging Graph Walks and Entity Descriptions
Russa Biswas, Jan Portisch, Heiko Paulheim +2
The entity type information in Knowledge Graphs (KGs) such as DBpedia, Freebase, etc. is often incomplete due to automated generation or human curation. Entity typing is the task o…
On the Impact of Temporal Representations on Metaphor Detection
Giorgio Ottolina, Matteo Palmonari, Mehwish Alam +1
State-of-the-art approaches for metaphor detection compare their literal - or core - meaning and their contextual meaning using metaphor classifiers based on neural networks. Howev…
MigrationsKB: A Knowledge Base of Public Attitudes towards Migrations and their Driving Factors
Yiyi Chen, Harald Sack, Mehwish Alam
With the increasing trend in the topic of migration in Europe, the public is now more engaged in expressing their opinions through various platforms such as Twitter. Understanding…