Phong Le - RankMe

38 papers A* 4A 3B 3Journal 16Unranked 12

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Hierarchical Text Classification with LLM-Refined Taxonomies. EACL (Volume 1: Long Papers) Jonas Golde, Nicolaas Paul Jedema, RaviKiran Krishnan, Phong Le
2026	J	`jnl`	Hierarchical Text Classification with LLM-Refined Taxonomies. CoRR Jonas Golde, Nicolaas Paul Jedema, Ravi Krishnan, Phong Le
2025	J	`jnl`	Deep Reinforcement Learning for Dynamic Algorithm Configuration: A Case Study on Optimizing OneMax with the (1+(λ,λ))-GA. CoRR Tai Nguyen, Phong Le, André Biedenkapp, Carola Doerr, Nguyen Dang
2025	A	`conf`	Multi-parameter Control for the (1+(λ, λ))-GA on OneMax via Deep Reinforcement Learning. FOGA Tai Nguyen, Phong Le, Carola Doerr, Nguyen Dang
2025	J	`jnl`	Multi-parameter Control for the (1+(λ,λ))-GA on OneMax via Deep Reinforcement Learning. CoRR Tai Nguyen, Phong Le, Carola Doerr, Nguyen Dang
2025	A	`conf`	On the Importance of Reward Design in Reinforcement Learning-based Dynamic Algorithm Configuration: A Case Study on OneMax with (1+(λ, λ))-GA. GECCO Tai Nguyen, Phong Le, André Biedenkapp, Carola Doerr, Nguyen Dang
2025	J	`jnl`	On the Importance of Reward Design in Reinforcement Learning-based Dynamic Algorithm Configuration: A Case Study on OneMax with (1+(λ,λ))-GA. CoRR Tai Nguyen, Phong Le, André Biedenkapp, Carola Doerr, Nguyen Dang
2025	J	`jnl`	On the Optimality of Discrete Object Naming: a Kinship Case Study. CoRR Phong Le, Mees Lindeman, Raquel G. Alhama
2024	A*	`conf`	The Emergence of Compositional Languages in Multi-entity Referential Games: from Image to Graph Representations. EMNLP Daniel Akkerman, Phong Le, Raquel G. Alhama
2021	—	`conf`	One-shot to Weakly-Supervised Relation Classification using Language Models. AKBC Thy Thy Tran, Phong Le, Sophia Ananiadou
2020	B	`conf`	DoLFIn: Distributions over Latent Features for Interpretability. COLING Phong Le, Willem H. Zuidema
2020	J	`jnl`	DoLFIn: Distributions over Latent Features for Interpretability. CoRR Phong Le, Willem H. Zuidema
2020	A*	`conf`	Revisiting Unsupervised Relation Extraction. ACL Thy Thy Tran, Phong Le, Sophia Ananiadou
2020	J	`jnl`	Revisiting Unsupervised Relation Extraction. CoRR Thy Thy Tran, Phong Le, Sophia Ananiadou
2019	—	`conf`	Boosting Entity Linking Performance by Leveraging Unlabeled Documents. ACL (1) Phong Le, Ivan Titov
2019	J	`jnl`	Boosting Entity Linking Performance by Leveraging Unlabeled Documents. CoRR Phong Le, Ivan Titov
2019	—	`conf`	Distant Learning for Entity Linking with Automatic Noise Detection. ACL (1) Phong Le, Ivan Titov
2019	J	`jnl`	Distant Learning for Entity Linking with Automatic Noise Detection. CoRR Phong Le, Ivan Titov
2018	—	`conf`	Improving Entity Linking by Modeling Latent Relations between Mentions. ACL (1) Phong Le, Ivan Titov
2018	J	`jnl`	Improving Entity Linking by Modeling Latent Relations between Mentions. CoRR Phong Le, Ivan Titov
2017	B	`conf`	Optimizing Differentiable Relaxations of Coreference Evaluation Metrics. CoNLL Phong Le, Ivan Titov
2017	J	`jnl`	Optimizing Differentiable Relaxations of Coreference Evaluation Metrics. CoRR Phong Le, Ivan Titov
2016	—	`conf`	LSTM-Based Mixture-of-Experts for Knowledge-Aware Dialogues. Rep4NLP@ACL Phong Le, Marc Dymetman, Jean-Michel Renders
2016	J	`jnl`	LSTM-based Mixture-of-Experts for Knowledge-Aware Dialogues. CoRR Phong Le, Marc Dymetman, Jean-Michel Renders
2016	—	`conf`	Quantifying the Vanishing Gradient and Long Distance Dependency Problem in Recursive Neural Networks and Recursive LSTMs. Rep4NLP@ACL Phong Le, Willem H. Zuidema
2016	J	`jnl`	Quantifying the vanishing gradient and long distance dependency problem in recursive neural networks and recursive LSTMs. CoRR Phong Le, Willem H. Zuidema
2015	—	`conf`	Compositional Distributional Semantics with Long Short Term Memory. *SEM@NAACL-HLT Phong Le, Willem H. Zuidema
2015	J	`jnl`	Compositional Distributional Semantics with Long Short Term Memory. CoRR Phong Le, Willem H. Zuidema
2015	—	`conf`	Enhancing the Inside-Outside Recursive Neural Network Reranker for Dependency Parsing. IWPT Phong Le
2015	A*	`conf`	The Forest Convolutional Network: Compositional Distributional Semantics with a Neural Chart and without Binarization. EMNLP Phong Le, Willem H. Zuidema
2015	—	`conf`	Unsupervised Dependency Parsing: Let's Use Supervised Parsers. HLT-NAACL Phong Le, Willem H. Zuidema
2015	J	`jnl`	Unsupervised Dependency Parsing: Let's Use Supervised Parsers. CoRR Phong Le, Willem H. Zuidema
2014	A*	`conf`	The Inside-Outside Recursive Neural Network model for Dependency Parsing. EMNLP Phong Le, Willem H. Zuidema
2013	—	`conf`	Learning from errors: Using vector-based compositional semantics for parse reranking. CVSM@ACL Phong Le, Willem H. Zuidema, Remko Scha
2012	B	`conf`	Learning Compositional Semantics for Open Domain Semantic Parsing. COLING Phong Le, Willem H. Zuidema
2009	—	`conf`	Adaptive Hybrid Mean Shift and Particle Filter. RIVF Phong Le, Anh Duc Duong, Hai Quan Vu, Nam Trung Pham
2001	A	`conf`	Implicit interest indicators. IUI Mark Claypool, Phong Le, Makoto Waseda, David Brown
2001	J	`jnl`	Inferring User Interest. IEEE Internet Comput. Mark Claypool, David Brown, Phong Le, Makoto Waseda