Daniel Nam

3 papers · 2022–2024 · 3 venues · across top CS/AI venues

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Achievements

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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (10)

Venues

ACL (1) EMNLP (1) NeurIPS (1)

Top co-authors

Daejin Jo (3) Sungwoong Kim (3) Seungeun Rho (2) Taehwan Kwon (2) Eunseop Yoon (2) Chang Yoo (2) Gunsoo Han (2) Kyoung-Woon On (2) Jongmin Kim (1) Mark Hasegawa-Johnson (1)

Research topics

Machine Learning (3) Deep Learning (2) Reinforcement Learning (2) Methods (2) Natural Language Processing (1) Applications (1) Bayesian & Probabilistic (1) Generation (1) Learning Types · Machine Learning (1) Learning Types · Deep Learning (1) Models (1) Optimization & Theory (1)

Keywords

reinforcement learning (2) policy optimization (1) dialogue generation (1) response generation (1) episodic memory (1) intrinsic motivation (1) human feedback (1) variational autoencoder (1) language model (1) sparse reward (1) evidence lower bound (1) continuous reward (1) knowledge retrieval (1) joint training (1) knowledge-grounded dialogue (1) latent variable modeling (1) token-level reward (1) episodic count (1) state compression (1)

Papers

TLCR: Token-Level Continuous Reward for Fine-grained Reinforcement Learning from Human Feedback ACL 2024 Efficient Latent Variable Modeling for Knowledge-Grounded Dialogue Generation EMNLP 2023 LECO: Learnable Episodic Count for Task-Specific Intrinsic Reward NeurIPS 2022