Minsoo Kim
26 papers · 2021–2025 · 9 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+8 more ↓ Show less ↑
🐝 Cross-Pollinator (14) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🌍 Conference Polyglot (9) 🌈 Renaissance Researcher (10)
🌍
Conference Polyglot
(9)
🌈
Renaissance Researcher
(10)
🤝
Dynamic Duo
(13)
🏆
Keyword Champion
(2)
💎
Century Club
(26)
⚡
Prolific Year
(7)
🗃️
Keyword Collector
(140)
🔥
Unstoppable
(5)
Conferences
EMNLP (12)
ACL (4)
EACL (2)
NAACL (2)
NIPS (2)
AAAI (1)
ACML (1)
CVPR (1)
ICCV (1)
Top co-authors
Research topics
Keywords
large language model
(6)
model compression
(5)
knowledge distillation
(4)
information retrieval
(3)
quantization-aware training
(2)
quantization aware training
(2)
query generation
(2)
post-training quantization
(2)
low-rank adaptation
(2)
parameter-efficient fine-tuning
(2)
reinforcement learning
(2)
retrieval-augmented generation
(2)
model quantization
(2)
code search
(2)
deep reinforcement learning
(2)
diffusion model
(2)
data augmentation
(2)
neural network optimization
(2)
language model
(2)
world model
(2)
Papers
Learning Contextual Retrieval for Robust Conversational Search
EMNLP 2025
VIGFace: Virtual Identity Generation for Privacy-Free Face Recognition Dataset
ICCV 2025
CoEx – Co-evolving World-model and Exploration
EMNLP 2025
Agent-as-Judge for Factual Summarization of Long Narratives
EMNLP 2025
RILQ: Rank-Insensitive LoRA-Based Quantization Error Compensation for Boosting 2-Bit Large Language Model Accuracy
AAAI 2025
Disentangling Questions from Query Generation for Task-Adaptive Retrieval
EMNLP 2024
Adversarial Environment Design via Regret-Guided Diffusion Models
NIPS 2024
Chaining Event Spans for Temporal Relation Grounding
EACL 2024
RaDA: Retrieval-augmented Web Agent Planning with LLMs
ACL 2024
Improving Conversational Abilities of Quantized Large Language Models via Direct Preference Alignment
ACL 2024
RA-LoRA: Rank-Adaptive Parameter-Efficient Fine-Tuning for Accurate 2-bit Quantized Large Language Models
ACL 2024
InfiniPot: Infinite Context Processing on Memory-Constrained LLMs
EMNLP 2024
Interventional Speech Noise Injection for ASR Generalizable Spoken Language Understanding
EMNLP 2024
QuBE: Question-based Belief Enhancement for Agentic LLM Reasoning
EMNLP 2024
Token-Scaled Logit Distillation for Ternary Weight Generative Language Models
NIPS 2023
Retrieval-augmented Video Encoding for Instructional Captioning
ACL 2023
Meta-Explore: Exploratory Hierarchical Vision-and-Language Navigation Using Scene Object Spectrum Grounding
CVPR 2023
Teacher Intervention: Improving Convergence of Quantization Aware Training for Ultra-Low Precision Transformers
EACL 2023
Enhancing Computation Efficiency in Large Language Models through Weight and Activation Quantization
EMNLP 2023
Relevance-assisted Generation for Robust Zero-shot Retrieval
EMNLP 2023
Intervention-Based Alignment of Code Search with Execution Feedback
EMNLP 2023
Understanding and Improving Knowledge Distillation for Quantization Aware Training of Large Transformer Encoders
EMNLP 2022
PLM-based World Models for Text-based Games
EMNLP 2022
Privacy-Preserving Text Classification on BERT Embeddings with Homomorphic Encryption
NAACL 2022
Collective Relevance Labeling for Passage Retrieval
NAACL 2022
Bridging Code-Text Representation Gap using Explanation
ACML 2021