| 2026 | ACL | Working Memory Constraints Scaffold Learning in Transformers under Data Scarcity. | Pranava Madhyastha, Dagmar Adamcova |
| 2026 | CHIIR | "Although Powerful, it's not Infallible": Investigating Academic Researchers' Verification Challenges with LLMs. | Monica Visani Scozzi, Stephann Makri, Pranava Madhyastha |
| 2026 | DSN | Establishing Zero-Shot LLM Performance at Network Tomography. | India-Jane Barry, Ilir Gashi, Kizito Salako, Pedro Marques, Pranava Madhyastha |
| 2026 | EACL | IYKYK: Using language models to decode extremist cryptolects. | Christine de Kock, Arij Riabi, Zeerak Talat, Michael Sejr Schlichtkrull, Pranava Madhyastha, Eduard H. Hovy |
| 2025 | ACL | Learning and Enforcing Context-Sensitive Control for LLMs. | Mohammad Albinhassan, Pranava Madhyastha, Mark Law, Alessandra Russo |
| 2025 | ACL | Chart Question Answering from Real-World Analytical Narratives. | Maeve Hutchinson, Radu Jianu, Aidan Slingsby, Jo Wood, Pranava Madhyastha |
| 2024 | AAAI | Towards Holistic, Pragmatic and Multimodal Conversational Systems. | Pranava Madhyastha |
| 2023 | CogSci | Are words equally surprising in audio and audio-visual comprehension? | Pranava Madhyastha, Ye Zhang, Gabriella Vigliocco |
| 2023 | EACL | Towards preserving word order importance through Forced Invalidation. | Hadeel Al-Negheimish, Pranava Madhyastha, Alessandra Russo |
| 2023 | EACL | Theoretical Conditions and Empirical Failure of Bracket Counting on Long Sequences with Linear Recurrent Networks. | Nadine El-Naggar, Pranava Madhyastha, Tillman Weyde |
| 2023 | EACL | Towards a Unified Model for Generating Answers and Explanations in Visual Question Answering. | Chenxi Whitehouse, Tillman Weyde, Pranava Madhyastha |
| 2022 | COLING | Belief Revision Based Caption Re-ranker with Visual Semantic Information. | Ahmed Sabir, Francesc Moreno-Noguer, Pranava Madhyastha, Llus Padr |
| 2022 | ICMI | Towards Integration of Embodiment Features for Prosodic Prominence Prediction from Text. | Pranava Madhyastha |
| 2022 | ICWSM | Evaluation of Fake News Detection with Knowledge-Enhanced Language Models. | Chenxi Whitehouse, Tillman Weyde, Pranava Madhyastha, Nikos Komninos |
| 2021 | ACL | BERTGen: Multi-task Generation through BERT. | Faidon Mitzalis, Ozan Caglayan, Pranava Madhyastha, Lucia Specia |
| 2021 | EACL | Discrete Reasoning Templates for Natural Language Understanding. | Hadeel Al-Negheimish, Pranava Madhyastha, Alessandra Russo |
| 2021 | EACL | Cross-lingual Visual Pre-training for Multimodal Machine Translation. | Ozan Caglayan, Menekse Kuyu, Mustafa Sercan Amac, Pranava Madhyastha, Erkut Erdem, Aykut Erdem, Lucia Specia |
| 2021 | EACL | Exploiting Multimodal Reinforcement Learning for Simultaneous Machine Translation. | Julia Ive, Andy Mingren Li, Yishu Miao, Ozan Caglayan, Pranava Madhyastha, Lucia Specia |
| 2021 | EMNLP | Numerical reasoning in machine reading comprehension tasks: are we there yet? | Hadeel Al-Negheimish, Pranava Madhyastha, Alessandra Russo |
| 2021 | WWW | A Focused Analysis of Twitter-based Disinformation from Foreign Influence Operations. | Julio Amador Daz Lpez, Pranava Madhyastha |
| 2020 | COLING | Curious Case of Language Generation Evaluation Metrics: A Cautionary Tale. | Ozan Caglayan, Pranava Madhyastha, Lucia Specia |
| 2020 | ECAI | Deciding When, How and for Whom to Simplify. | Carolina Scarton, Pranava Madhyastha, Lucia Specia |
| 2020 | EMNLP | Simultaneous Machine Translation with Visual Context. | Ozan Caglayan, Julia Ive, Veneta Haralampieva, Pranava Madhyastha, Loc Barrault, Lucia Specia |
| 2019 | ACL | Distilling Translations with Visual Awareness. | Julia Ive, Pranava Madhyastha, Lucia Specia |
| 2019 | ACL | VIFIDEL: Evaluating the Visual Fidelity of Image Descriptions. | Pranava Madhyastha, Josiah Wang, Lucia Specia |
| 2019 | CoNLL | On Model Stability as a Function of Random Seed. | Pranava Madhyastha, Rishabh Jain |
| 2019 | EMNLP | Deep Copycat Networks for Text-to-Text Generation. | Julia Ive, Pranava Madhyastha, Lucia Specia |
| 2019 | ICASSP | Learning from Multiview Correlations in Open-domain Videos. | Nils Holzenberger, Shruti Palaskar, Pranava Madhyastha, Florian Metze, Raman Arora |
| 2019 | NAACL | Probing the Need for Visual Context in Multimodal Machine Translation. | Ozan Caglayan, Pranava Madhyastha, Lucia Specia, Loc Barrault |