Taehwan Kwon
5 papers · 2021–2023 · 4 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (4) π Renaissance Researcher (6) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (16) π§ Keyword Pioneer
π£
Hot Topic Early Bird
π
Cross-Pollinator
(13)
Conferences
NIPS (2)
COLING (1)
EMNLP (1)
ICLR (1)
Top co-authors
Keywords
reinforcement learning
(3)
few-shot learning
(1)
natural language generation
(1)
dialogue generation
(1)
response generation
(1)
message passing
(1)
episodic memory
(1)
np-hard optimization
(1)
multi-agent planning
(1)
intrinsic motivation
(1)
variational autoencoder
(1)
sparse reward
(1)
evidence lower bound
(1)
pretrained language model
(1)
auction theory
(1)
knowledge retrieval
(1)
joint training
(1)
knowledge-grounded dialogue
(1)
adapter learning
(1)
token generation
(1)
Papers
Efficient Latent Variable Modeling for Knowledge-Grounded Dialogue Generation
EMNLP 2023
Learning NP-Hard Multi-Agent Assignment Planning using GNN: Inference on a Random Graph and Provable Auction-Fitted Q-learning
NIPS 2022
LECO: Learnable Episodic Count for Task-Specific Intrinsic Reward
NIPS 2022
Selective Token Generation for Few-shot Natural Language Generation
COLING 2022
Variational Intrinsic Control Revisited
ICLR 2021