Learning Task-specific Bilexical Embeddings. - Pranava Swaroop Madhyastha; Xavier Carreras; Ariadna Quattoni (COLING, 2014)

Semantic Tuples for Evaluation of Image to Sentence Generation. - Lily D. Ellebracht; Arnau Ramisa; Pranava Swaroop Madhyastha; Jose Cordero-Rama; Francesc Moreno-Noguer; Ariadna Quattoni (VL@EMNLP, 2015)

Tailoring Word Embeddings for Bilexical Predictions: An Experimental Comparison. - Pranava Swaroop Madhyastha; Xavier Carreras; Ariadna Quattoni (ICLR (Workshop), 2015)

Structured Prediction with Output Embeddings for Semantic Image Annotation. - Ariadna Quattoni; Arnau Ramisa; Pranava Swaroop Madhyastha; Edgar Simo-Serra; Francesc Moreno-Noguer (HLT-NAACL, 2016)

Mapping Unseen Words to Task-Trained Embedding Spaces. - Pranava Swaroop Madhyastha; Mohit Bansal; Kevin Gimpel; Karen Livescu (Rep4NLP@ACL, 2016)

The TALP-UPC Spanish-English WMT Biomedical Task: Bilingual Embeddings and Char-based Neural Language Model Rescoring in a Phrase-based System. - Marta R. Costa-jussà; Cristina España-Bonet; Pranava Swaroop Madhyastha; Carlos Escolano; José A. R. Fonollosa (WMT, 2016)

Resolving Out-of-Vocabulary Words with Bilingual Embeddings in Machine Translation. - Pranava Swaroop Madhyastha; Cristina España-Bonet (CoRR, 2016)

Exploring the use of acoustic embeddings in neural machine translation. - Salil Deena; Raymond W. M. Ng; Pranava Swaroop Madhyastha; Lucia Specia; Thomas Hain (ASRU, 2017)

Semi-Supervised Adaptation of RNNLMs by Fine-Tuning with Domain-Specific Auxiliary Features. - Salil Deena; Raymond W. M. Ng; Pranava Swaroop Madhyastha; Lucia Specia; Thomas Hain (INTERSPEECH, 2017)

Prepositional Phrase Attachment over Word Embedding Products. - Pranava Swaroop Madhyastha; Xavier Carreras; Ariadna Quattoni (IWPT, 2017)

Exploring Hypotheses Spaces in Neural Machine Translation. - Frédéric Blain; Lucia Specia; Pranava Madhyastha (MTSummit (1), 2017)

Learning Bilingual Projections of Embeddings for Vocabulary Expansion in Machine Translation. - Pranava Swaroop Madhyastha; Cristina España-Bonet (Rep4NLP@ACL, 2017)

Sheffield MultiMT: Using Object Posterior Predictions for Multimodal Machine Translation. - Pranava Swaroop Madhyastha; Josiah Wang; Lucia Specia (WMT, 2017)

Unraveling the Contribution of Image Captioning and Neural Machine Translation for Multimodal Machine Translation. - Chiraag Lala; Pranava Madhyastha; Josiah Wang; Lucia Specia (Prague Bull. Math. Linguistics, 2017)

Exploiting word embeddings for modeling bilexical relations. - Pranava Swaroop Madhyastha (2017)

End-to-end Image Captioning Exploits Distributional Similarity in Multimodal Space. - Pranava Swaroop Madhyastha; Josiah Wang; Lucia Specia (BlackboxNLP@EMNLP, 2018)

Defoiling Foiled Image Captions. - Pranava Swaroop Madhyastha; Josiah Wang; Lucia Specia (NAACL-HLT (2), 2018)

Object Counts! Bringing Explicit Detections Back into Image Captioning. - Josiah Wang; Pranava Swaroop Madhyastha; Lucia Specia (NAACL-HLT, 2018)

Sheffield Submissions for WMT18 Multimodal Translation Shared Task. - Chiraag Lala; Pranava Swaroop Madhyastha; Carolina Scarton; Lucia Specia (WMT (shared task), 2018)

End-to-end Image Captioning Exploits Multimodal Distributional Similarity. - Pranava Swaroop Madhyastha; Josiah Wang; Lucia Specia (CoRR, 2018)

Predicting Language Recovery after Stroke with Convolutional Networks on Stitched MRI. - Yusuf H. Roohani; Noor Sajid; Pranava Madhyastha; Cathy J. Price; Thomas M. H. Hope (CoRR, 2018)

The role of image representations in vision to language tasks. - Pranava Swaroop Madhyastha; Josiah Wang; Lucia Specia (Nat. Lang. Eng., 2018)

Distilling Translations with Visual Awareness. - Julia Ive; Pranava Madhyastha; Lucia Specia (ACL (1), 2019)

VIFIDEL: Evaluating the Visual Fidelity of Image Descriptions. - Pranava Madhyastha; Josiah Wang; Lucia Specia (ACL (1), 2019)

On Model Stability as a Function of Random Seed. - Pranava Madhyastha; Rishabh Jain (CoNLL, 2019)

Deep Copycat Networks for Text-to-Text Generation. - Julia Ive; Pranava Madhyastha; Lucia Specia (EMNLP/IJCNLP (1), 2019)

Learning from Multiview Correlations in Open-domain Videos. - Nils Holzenberger; Shruti Palaskar; Pranava Madhyastha; Florian Metze; Raman Arora (ICASSP, 2019)

Probing the Need for Visual Context in Multimodal Machine Translation. - Ozan Caglayan; Pranava Madhyastha; Lucia Specia; Loïc Barrault (NAACL-HLT (1), 2019)

WMDO: Fluency-based Word Mover's Distance for Machine Translation Evaluation. - Julian Chow; Lucia Specia; Pranava Madhyastha (WMT (2), 2019)

Model Explanations under Calibration. - Rishabh Jain; Pranava Madhyastha (CoRR, 2019)

Predicting Actions to Help Predict Translations. - Zixiu Wu; Julia Ive; Josiah Wang; Pranava Madhyastha; Lucia Specia (CoRR, 2019)

Probing Representations Learned by Multimodal Recurrent and Transformer Models. - Jindrich Libovický; Pranava Madhyastha (CoRR, 2019)

Imperial College London Submission to VATEX Video Captioning Task. - Ozan Caglayan; Zixiu Wu; Pranava Madhyastha; Josiah Wang; Lucia Specia (CoRR, 2019)

Curious Case of Language Generation Evaluation Metrics: A Cautionary Tale. - Ozan Caglayan; Pranava Madhyastha; Lucia Specia (COLING, 2020)

Deciding When, How and for Whom to Simplify. - Carolina Scarton; Pranava Madhyastha; Lucia Specia (ECAI, 2020)

Simultaneous Machine Translation with Visual Context. - Ozan Caglayan; Julia Ive; Veneta Haralampieva; Pranava Madhyastha; Loïc Barrault; Lucia Specia (EMNLP (1), 2020)

A Tweet-based Dataset for Company-Level Stock Return Prediction. - Karolina Sowinska; Pranava Madhyastha (CoRR, 2020)

MSVD-Turkish: A Comprehensive Multimodal Dataset for Integrated Vision and Language Research in Turkish. - Begum Citamak; Ozan Caglayan; Menekse Kuyu; Erkut Erdem; Aykut Erdem; Pranava Madhyastha; Lucia Specia (CoRR, 2020)

Grounded Sequence to Sequence Transduction. - Lucia Specia; Loïc Barrault; Ozan Caglayan; Amanda Cardoso Duarte; Desmond Elliott; Spandana Gella; Nils Holzenberger; Chiraag Lala; Sun Jae Lee; Jindrich Libovický; Pranava Madhyastha; Florian Metze; et al. (IEEE J. Sel. Top. Signal Process., 2020)

BERTGen: Multi-task Generation through BERT. - Faidon Mitzalis; Ozan Caglayan; Pranava Madhyastha; Lucia Specia (ACL/IJCNLP (1), 2021)

Discrete Reasoning Templates for Natural Language Understanding. - Hadeel Al-Negheimish; Pranava Madhyastha; Alessandra Russo (EACL (Student Research Workshop), 2021)

Cross-lingual Visual Pre-training for Multimodal Machine Translation. - Ozan Caglayan; Menekse Kuyu; Mustafa Sercan Amac; Pranava Madhyastha; Erkut Erdem; Aykut Erdem; Lucia Specia (EACL, 2021)

Exploiting Multimodal Reinforcement Learning for Simultaneous Machine Translation. - Julia Ive; Andy Mingren Li; Yishu Miao; Ozan Caglayan; Pranava Madhyastha; Lucia Specia (EACL, 2021)

Numerical reasoning in machine reading comprehension tasks: are we there yet? - Hadeel Al-Negheimish; Pranava Madhyastha; Alessandra Russo (EMNLP (1), 2021)

A Focused Analysis of Twitter-based Disinformation from Foreign Influence Operations. - Julio Amador Díaz López; Pranava Madhyastha (KnOD@WWW, 2021)

MultiSubs: A Large-scale Multimodal and Multilingual Dataset. - Josiah Wang; Pranava Madhyastha; Josiel Figueiredo; Chiraag Lala; Lucia Specia (CoRR, 2021)

A call for better unit testing for invariant risk minimisation. - Chunyang Xiao; Pranava Madhyastha (CoRR, 2021)

MSVD-Turkish: a comprehensive multimodal video dataset for integrated vision and language research in Turkish. - Begum Citamak; Ozan Caglayan; Menekse Kuyu; Erkut Erdem; Aykut Erdem; Pranava Madhyastha; Lucia Specia (Mach. Transl., 2021)

Read, spot and translate. - Lucia Specia; Josiah Wang; Sun Jae Lee; Alissa Ostapenko; Pranava Madhyastha (Mach. Transl., 2021)

Leveraging auxiliary image descriptions for dense video captioning. - Emre Boran; Aykut Erdem; Nazli Ikizler-Cinbis; Erkut Erdem; Pranava Madhyastha; Lucia Specia (Pattern Recognit. Lett., 2021)

Belief Revision Based Caption Re-ranker with Visual Semantic Information. - Ahmed Sabir; Francesc Moreno-Noguer; Pranava Madhyastha; Lluís Padró 001 (COLING, 2022)

Experiments in Learning Dyck-1 Languages with Recurrent Neural Networks. - Nadine El-Naggar; Pranava Madhyastha; Tillman Weyde (HLC, 2022)

Towards Integration of Embodiment Features for Prosodic Prominence Prediction from Text. - Pranava Madhyastha (ICMI Companion, 2022)

Evaluation of Fake News Detection with Knowledge-Enhanced Language Models. - Chenxi Whitehouse; Tillman Weyde; Pranava Madhyastha; Nikos Komninos (ICWSM, 2022)

Exploring the Long-Term Generalization of Counting Behavior in RNNs. - Nadine El-Naggar; Pranava Madhyastha; Tillman Weyde (CoRR, 2022)

Are words equally surprising in audio and audio-visual comprehension? - Pranava Madhyastha; Ye Zhang; Gabriella Vigliocco (CogSci, 2023)

Towards preserving word order importance through Forced Invalidation. - Hadeel Al-Negheimish; Pranava Madhyastha; Alessandra Russo (EACL, 2023)

Theoretical Conditions and Empirical Failure of Bracket Counting on Long Sequences with Linear Recurrent Networks. - Nadine El-Naggar; Pranava Madhyastha; Tillman Weyde (EACL (Student Research Workshop), 2023)

Towards a Unified Model for Generating Answers and Explanations in Visual Question Answering. - Chenxi Whitehouse; Tillman Weyde; Pranava Madhyastha (EACL (Findings), 2023)

Formal and Empirical Studies of Counting Behaviour in ReLU RNNs. - Nadine El-Naggar; Andrew Ryzhikov; Laure Daviaud; Pranava Madhyastha; Tillman Weyde (ICGI, 2023)

Towards Visualisation Specifications from Multilingual Natural Language Queries using Large Language Models. - Maeve Hutchinson; Aidan Slingsby; Radu Jianu; Pranava Madhyastha (EuroVis (Posters), 2023)

Towards Robust Aspect-based Sentiment Analysis through Non-counterfactual Augmentations. - Xinyu Liu; Yan Ding; Kaikai An; Chunyang Xiao; Pranava Madhyastha; Tong Xiao; Jingbo Zhu (CoRR, 2023)

A study towards contextual understanding of toxicity in online conversations. - Pranava Madhyastha; Antigoni Founta; Lucia Specia (Nat. Lang. Eng., 2023)

Towards Holistic, Pragmatic and Multimodal Conversational Systems. - Pranava Madhyastha (AAAI, 2024)

LLM-Assisted Visual Analytics: Opportunities and Challenges. - Maeve Hutchinson; Radu Jianu; Aidan Slingsby; Pranava Madhyastha (CoRR, 2024)

Foundation model assisted visual analytics: Opportunities and Challenges. - Maeve Hutchinson; Radu Jianu; Aidan Slingsby; Pranava Madhyastha (Comput. Graph., 2025)

SEM-CTRL: Semantically Controlled Decoding. - Mohammad Albinhassan; Pranava Madhyastha; Alessandra Russo (CoRR, 2025)

An Empirical Study of Conformal Prediction in LLM with ASP Scaffolds for Robust Reasoning. - Navdeep Kaur; Lachlan McPheat; Alessandra Russo; Anthony G. Cohn 001; Pranava Madhyastha (CoRR, 2025)

IYKYK: Using language models to decode extremist cryptolects. - Christine de Kock; Arij Riabi; Zeerak Talat; Michael Sejr Schlichtkrull; Pranava Madhyastha; Eduard H. Hovy (CoRR, 2025)

Capturing Visualization Design Rationale. - Maeve Hutchinson; Radu Jianu; Aidan Slingsby; Jo Wood; Pranava Madhyastha (CoRR, 2025)

Chart Question Answering from Real-World Analytical Narratives. - Maeve Hutchinson; Radu Jianu; Aidan Slingsby; Jo Wood; Pranava Madhyastha (CoRR, 2025)