Anum Afzal

According to our database, Anum Afzal authored at least 15 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Real-Time Generation of Game Video Commentary with Multimodal LLMs: Pause-Aware Decoding Approaches.

Anum Afzal, Yuki Saito, Hiroya Takamura, Katsuhito Sudoh, Shinnosuke Takamichi, Graham Neubig, Florian Matthes, Tatsuya Ishigaki

CoRR, March, 2026

Benchmarking, Improving, and Predicting Performance Under Domain Shift in Large Language Models.

Anum Afzal

PhD thesis, 2026

Beyond Grid Search: Leveraging Bayesian Optimization for Accelerating RAG Pipeline Optimization.

Anum Afzal, Xueru Zheng, Florian Matthes

Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

2025

Can Smaller LLMs do better? Unlocking Cross-Domain Potential through Parameter-Efficient Fine-Tuning for Text Summarization.

Anum Afzal, Mehul Kumawat, Florian Matthes

CoRR, September, 2025

JaccDiv: A Metric and Benchmark for Quantifying Diversity of Generated Marketing Text in the Music Industry.

Anum Afzal, Alexandre Mercier, Florian Matthes

CoRR, April, 2025

Candidate Profile Summarization: A RAG Approach with Synthetic Data Generation for Tech Jobs.

Anum Afzal, Ishwor Subedi, Florian Matthes

Proceedings of the 15th International Conference on Recent Advances in Natural Language Processing, 2025

FActBench: A Benchmark for Fine-grained Automatic Evaluation of LLM-Generated Text in the Medical Domain.

Anum Afzal, Juraj Vladika, Florian Matthes

Proceedings of the 8th International Conference on Natural Language and Speech Processing, 2025

DA-Pred: Performance Prediction for Text Summarization under Domain-Shift and Instruct-Tuning.

Anum Afzal, Florian Matthes, Alexander R. Fabbri

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Knowing Before Saying: LLM Representations Encode Information About Chain-of-Thought Success Before Completion.

Anum Afzal, Florian Matthes, Gal Chechik, Yftah Ziser

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

AdaptEval: Evaluating Large Language Models on Domain Adaptation for Text Summarization.

Anum Afzal, Ribin Chalumattu, Florian Matthes, Laura Mascarell

CoRR, 2024

Towards Optimizing and Evaluating a Retrieval Augmented QA Chatbot using LLMs with Human in the Loop.

Anum Afzal, Alexander Kowsik, Rajna Fani, Florian Matthes

CoRR, 2024

Towards Optimizing a Retrieval Augmented Generation using Large Language Model on Academic Data.

Anum Afzal, Juraj Vladika, Gentrit Fazlija, Andrei Staradubets, Florian Matthes

Proceedings of the 2024 8th International Conference on Natural Language Processing and Information Retrieval, 2024

A Semi-Automatic Light-Weight Approach Towards Data Generation for a Domain-Specific FAQ Chatbot Using Human-in-the-Loop.

Anum Afzal, Tao Xiang, Florian Matthes

Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024

2023

Challenges in Domain-Specific Abstractive Summarization and How to Overcome Them.

Anum Afzal, Juraj Vladika, Daniel Braun, Florian Matthes

Proceedings of the 15th International Conference on Agents and Artificial Intelligence, 2023

Investigating Conversational Search Behavior for Domain Exploration.

Phillip Schneider, Anum Afzal, Juraj Vladika, Daniel Braun, Florian Matthes

Proceedings of the Advances in Information Retrieval, 2023