Taehyeon Kim
13 papers · 2021–2026 · 8 conferences · across top CS/AI conferences
Achievements
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π£ Hot Topic Early Bird π Interdisciplinary Bridge π§ Keyword Pioneer π Cross-Pollinator (12) π Renaissance Researcher (5)
πΊοΈ
Taxonomy Completionist
(25)
π
Conference Polyglot
(7)
π±
Topic Pioneer
π
Century Club
(11)
β‘
Prolific Year
(5)
Conferences
NIPS (4)
ACL (2)
ICLR (2)
AAAI (1)
EMNLP (1)
IJCAI (1)
MICCAI (1)
NAACL (1)
Top co-authors
Keywords
model compression
(2)
inference acceleration
(2)
language model
(2)
semi-supervised learning
(2)
domain adaptation
(2)
few-shot learning
(1)
hierarchical modeling
(1)
transformer architecture
(1)
game theory
(1)
kullback-leibler divergence
(1)
reinforcement learning
(1)
object detection
(1)
knowledge distillation
(1)
kl divergence
(1)
progressive learning
(1)
transfer learning
(1)
pseudo labeling
(1)
label noise
(1)
autoregressive generation
(1)
autoregressive transformer
(1)
Papers
MERIT Feedback Elicits Better Bargaining in LLM Negotiators
ACL 2026
Efficiently Learning To Reason or Not to Reason: Root-token Policy Optimization for Adaptive Thinking
ACL 2026
MMR: A Large-scale Benchmark Dataset for Multi-target and Multi-granularity Reasoning Segmentation
ICLR 2025
C2: Scalable Auto-Feedback for LLM-based Chart Generation
NAACL 2025
Blood Pressure Assisted Cerebral Microbleed Segmentation via Meta-matching
MICCAI 2025
Instructive Decoding: Instruction-Tuned Large Language Models are Self-Refiner from Noisy Instructions
ICLR 2024
Accelerating Blockwise Parallel Language Models with Draft Refinement
NIPS 2024
Block Transformer: Global-to-Local Language Modeling for Fast Inference
NIPS 2024
Leveraging Normalization Layer in Adapters with Progressive Learning and Adaptive Distillation for Cross-Domain Few-Shot Learning
AAAI 2024
Towards Fast Multilingual LLM Inference: Speculative Decoding and Specialized Drafters
EMNLP 2024
Navigating Data Heterogeneity in Federated Learning: A Semi-Supervised Federated Object Detection
NIPS 2023
Comparing Kullback-Leibler Divergence and Mean Squared Error Loss in Knowledge Distillation
IJCAI 2021
FINE Samples for Learning with Noisy Labels
NIPS 2021