Jaewoong Cho

Orak: A Foundational Benchmark for Training and Evaluating LLM Agents on Diverse Video Games

T1: Tool-integrated Verification for Test-time Compute Scaling in Small Language Models

Beyond RLHF: A Theoretical Framework of Alignment as Distribution Learning

Towards Faithful Agentic XAI

Clip-Low Increases Entropy and Clip-High Decreases Entropy in Reinforcement Learning of Large Language Models

Delving into Large Language Models for Effective Time-Series Anomaly Detection

Rare-to-Frequent: Unlocking Compositional Generation Power of Diffusion Models on Rare Concepts with LLM Guidance

Distilling LLM Agent into Small Models with Retrieval and Code Tools

DiTTo-TTS: Diffusion Transformers for Scalable Text-to-Speech without Domain-Specific Factors

Efficient Generative Modeling with Residual Vector Quantization-Based Tokens

Lexico: Extreme KV Cache Compression via Sparse Coding over Universal Dictionaries

KV-Dict: Sparse KV Cache Compression with Universal Dictionaries

Task Diversity Shortens the ICL Plateau

Efficient Generative Modeling with Residual Vector Quantization-Based Tokens