Philip John Gorinski

19 papers A* 3A 1Journal 12Unranked 3

Year	Rank	Type	Title / Venue / Authors
2024	A*	`conf`	Correct and Optimal: The Regular Expression Inference Challenge. IJCAI Mojtaba Valizadeh, Philip John Gorinski, Ignacio Iacobacci, Martin Berger
2024	J	`jnl`	Newclid: A User-Friendly Replacement for AlphaGeometry. CoRR Vladmir Sicca, Tianxiang Xia, Mathïs Fédérico, Philip John Gorinski, Simon Frieder, Shangling Jui
2024	J	`jnl`	αVIL: Learning to Leverage Auxiliary Tasks for Multitask Learning. CoRR Rafael Kourdis, Gabriel Gordon-Hall, Philip John Gorinski
2023	—	`conf`	Automatic Unit Test Data Generation and Actor-Critic Reinforcement Learning for Code Synthesis. EMNLP (Findings) Philip John Gorinski, Matthieu Zimmer, Gerasimos Lampouras, Derrick-Goh-Xin Deik, Ignacio Iacobacci
2023	J	`jnl`	Automatic Unit Test Data Generation and Actor-Critic Reinforcement Learning for Code Synthesis. CoRR Philip John Gorinski, Matthieu Zimmer, Gerasimos Lampouras, Derrick-Goh-Xin Deik, Ignacio Iacobacci
2023	J	`jnl`	Graph Attention with Hierarchies for Multi-hop Question Answering. CoRR Yunjie He, Philip John Gorinski, Ieva Staliunaite, Pontus Stenetorp
2023	J	`jnl`	The Regular Expression Inference Challenge. CoRR Mojtaba Valizadeh, Philip John Gorinski, Ignacio Iacobacci, Martin Berger
2022	J	`jnl`	Relational Graph Convolutional Neural Networks for Multihop Reasoning: A Comparative Study. CoRR Ieva Staliunaite, Philip John Gorinski, Ignacio Iacobacci
2022	J	`jnl`	Structured Q-learning For Antibody Design. CoRR Alexander I. Cowen-Rivers, Philip John Gorinski, Aivar Sootla, Asif Khan, Furui Liu, Jun Wang, Jan Peters, Haitham Bou-Ammar
2021	A*	`conf`	Improving Commonsense Causal Reasoning by Adversarial Training and Data Augmentation. AAAI Ieva Staliunaite, Philip John Gorinski, Ignacio Iacobacci
2021	J	`jnl`	Improving Commonsense Causal Reasoning by Adversarial Training and Data Augmentation. CoRR Ieva Staliunaite, Philip John Gorinski, Ignacio Iacobacci
2020	A	`conf`	Improving End-to-End Speech-to-Intent Classification with Reptile. INTERSPEECH Yusheng Tian, Philip John Gorinski
2020	J	`jnl`	Improving End-to-End Speech-to-Intent Classification with Reptile. CoRR Yusheng Tian, Philip John Gorinski
2020	A*	`conf`	Learning Dialog Policies from Weak Demonstrations. ACL Gabriel Gordon-Hall, Philip John Gorinski, Shay B. Cohen
2020	J	`jnl`	Learning Dialog Policies from Weak Demonstrations. CoRR Gabriel Gordon-Hall, Philip John Gorinski, Shay B. Cohen
2020	J	`jnl`	Show Us the Way: Learning to Manage Dialog from Demonstrations. CoRR Gabriel Gordon-Hall, Philip John Gorinski, Gerasimos Lampouras, Ignacio Iacobacci
2019	J	`jnl`	Named Entity Recognition for Electronic Health Records: A Comparison of Rule-based and Machine Learning Approaches. CoRR Philip John Gorinski, Honghan Wu, Claire Grover, Richard Tobin, Conn Talbot, Heather Whalley, Cathie Sudlow, William Whiteley, Beatrice Alex
2018	—	`conf`	What's This Movie About? A Joint Neural Network Architecture for Movie Content Analysis. NAACL-HLT Philip John Gorinski, Mirella Lapata
2015	—	`conf`	Movie Script Summarization as Graph-based Scene Extraction. HLT-NAACL Philip John Gorinski, Mirella Lapata