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Fjona Parllaku

dblp:376/7589 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2026
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Artificial intelligence
1 paper
Language models and text generation · 100%
Databases, data mining, and information retrieval
1 paper
Information retrieval · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Natural language and speech › Language models and text generation
LLM agents
1.012026
ToolScope: Enhancing LLM Agent Tool Use through Tool Merging and Context-Aware Filtering · ACL (1) 2026
Natural language and speech › Language models and text generation › LLM agents
tool use
1.012026
ToolScope: Enhancing LLM Agent Tool Use through Tool Merging and Context-Aware Filtering · ACL (1) 2026
Information retrieval
tool retrieval
0.312026
ToolScope: Enhancing LLM Agent Tool Use through Tool Merging and Context-Aware Filtering · ACL (1) 2026

Methods — techniques the papers use, named apart from their topics

tool merging · 2.0context-aware filtering · 2.0
YearPublicationVenuePosition
2026 ToolScope: Enhancing LLM Agent Tool Use through Tool Merging and Context-Aware Filtering
abstract
Marianne Menglin Liu, Daniel Garcia, Fjona Parllaku, Vikas Upadhyay, Fahad Shah, Dan Roth. Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). 2026.
Marianne Menglin Liu, Fjona Parllaku, Vikas Upadhyay, Fahad Shah, Dan Roth 0001
ACL (1)3