111 citations · 184 across the 13 of their papers we have counts for
13 papers
Does task decomposition improve automatic NLG evaluation?
Sebastian Steindl, Nikos Voskarides, Alberto Gasparin +1
The LLM-as-a-judge (LLMaJ) framework has emerged as a promising solution for cheap, reproducible, reference-free Natural Language Generation (NLG) evaluation. Prior work seeks to i…
Post-hoc Alignment of LLM-judges to Human Judgment Distribution
Sebastian Steindl, Nikos Voskarides, Alberto Gasparin +1
The LLM-as-a-judge (LLMaJ) framework offers a cost-effective and reproducible solution for automatic evaluation. However, current evaluation practices typically compare LLMaJ judgm…
Performance-Efficiency Trade-Offs in Adapting Language Models to Text Classification Tasks
Laura Aina, Nikos Voskarides, Roi Blanco
Pre-trained language models (LMs) obtain state-of-the-art performance when adapted to text classification tasks. However, when using such models in real-world applications, efficie…
News Article Retrieval in Context for Event-centric Narrative Creation
Nikos Voskarides, Edgar Meij, Sabrina Sauer +1
Writers such as journalists often use automatic tools to find relevant content to include in their narratives. In this paper, we focus on supporting writers in the news domain to d…
Combining Lexical and Dense Retrieval for Computationally Efficient Multi-hop Question Answering
Georgios Sidiropoulos, Nikos Voskarides, Svitlana Vakulenko +1
In simple open-domain question answering (QA), dense retrieval has become one of the standard approaches for retrieving the relevant passages to infer an answer. Recently, dense re…
Leveraging Query Resolution and Reading Comprehension for Conversational Passage Retrieval
Svitlana Vakulenko, Nikos Voskarides, Zhucheng Tu +1
This paper describes the participation of UvA.ILPS group at the TREC CAsT 2020 track. Our passage retrieval pipeline consists of (i) an initial retrieval module that uses BM25, and…
Supporting search engines with knowledge and context
Nikos Voskarides
Search engines leverage knowledge to improve information access. In order to effectively leverage knowledge, search engines should account for context, i.e., information about the…
MICROS: Mixed-Initiative ConveRsatiOnal Systems Workshop
Ida Mele, Cristina Ioana Muntean, Mohammad Aliannejadi +1
The 1st edition of the workshop on Mixed-Initiative ConveRsatiOnal Systems (MICROS@ECIR2021) aims at investigating and collecting novel ideas and contributions in the field of conv…
A Comparison of Question Rewriting Methods for Conversational Passage Retrieval
Svitlana Vakulenko, Nikos Voskarides, Zhucheng Tu +1
Conversational passage retrieval relies on question rewriting to modify the original question so that it no longer depends on the conversation history. Several methods for question…
Analysing the Effect of Clarifying Questions on Document Ranking in Conversational Search
Antonios Minas Krasakis, Mohammad Aliannejadi, Nikos Voskarides +1
Recent research on conversational search highlights the importance of mixed-initiative in conversations. To enable mixed-initiative, the system should be able to ask clarifying que…
Knowledge Graph Simple Question Answering for Unseen Domains
Georgios Sidiropoulos, Nikos Voskarides, Evangelos Kanoulas
Knowledge graph simple question answering (KGSQA), in its standard form, does not take into account that human-curated question answering training data only cover a small subset of…
Query Resolution for Conversational Search with Limited Supervision
Nikos Voskarides, Dan Li, Pengjie Ren +2
In this work we focus on multi-turn passage retrieval as a crucial component of conversational search. One of the key challenges in multi-turn passage retrieval comes from the fact…
Weakly-supervised Contextualization of Knowledge Graph Facts
Nikos Voskarides, Edgar Meij, Ridho Reinanda +5
Knowledge graphs (KGs) model facts about the world, they consist of nodes (entities such as companies and people) that are connected by edges (relations such as founderOf). Facts e…