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Tomasz Kajdanowicz

7 accepted papers

2026

Attention Sinks as Internal Signals for Hallucination Detection in Large Language Models

ICML 2026poster

Large language models frequently exhibit hallucinations: fluent and confident outputs that are factually incorrect or unsupported by the input context. While recent hallucination detection methods have explored various features derived from attention maps, the underlying mechanisms they exploit rema…

Cited by 0SourceScholar
2024

Developing PUGG for Polish: A Modern Approach to KBQA, MRC, and IR Dataset Construction

ACL 2024findings

Advancements in AI and natural language processing have revolutionized machine-human language interactions, with question answering (QA) systems playing a pivotal role. The knowledge base question answering (KBQA) task, utilizing structured knowledge graphs (KG), allows for handling extensive knowle…

2024

Empowering Small-Scale Knowledge Graphs: A Strategy of Leveraging General-Purpose Knowledge Graphs for Enriched Embeddings

COLING 2024main

Knowledge-intensive tasks pose a significant challenge for Machine Learning (ML) techniques. Commonly adopted methods, such as Large Language Models (LLMs), often exhibit limitations when applied to such tasks. Nevertheless, there have been notable endeavours to mitigate these challenges, with a sig…

2023

Domain-Agnostic Neural Architecture for Class Incremental Continual Learning in Document Processing Platform

ACL 2023industry

Production deployments in complex systems require ML architectures to be highly efficient and usable against multiple tasks. Particularly demanding are classification problems in which data arrives in a streaming fashion and each class is presented separately. Recent methods with stochastic gradient…

2021

Controversy and Conformity: from Generalized to Personalized Aggressiveness Detection

ACL 2021long

There is content such as hate speech, offensive, toxic or aggressive documents, which are perceived differently by their consumers. They are commonly identified using classifiers solely based on textual content that generalize pre-agreed meanings of difficult problems. Such models provide the same r…

2020

UCSG-NET- Unsupervised Discovering of Constructive Solid Geometry Tree

NeurIPS 2020poster

Signed distance field (SDF) is a prominent implicit representation of 3D meshes. Methods that are based on such representation achieved state-of-the-art 3D shape reconstruction quality. However, these methods struggle to reconstruct non-convex shapes. One remedy is to incorporate a constructive soli…