5 papers
Self-Evolving Search Index
Sangam Lee, Wonjae Lee, Sunghwan Kim +5
Information retrieval is increasingly important as LLM agents tackle complex tasks involving diverse information needs. Because retrieval relies on an index that represents each do…
AgenticShop: Benchmarking Agentic Product Curation for Personalized Web Shopping
Sunghwan Kim, Ryang Heo, Yongsik Seo +2
The proliferation of e-commerce has made web shopping platforms key gateways for customers navigating the vast digital marketplace. Yet this rapid expansion has led to a noisy and…
SAGEO Arena: A Realistic Environment for Evaluating Search-Augmented Generative Engine Optimization
Sunghwan Kim, Wooseok Jeong, Serin Kim +2
Search-Augmented Generative Engines (SAGE) have emerged as a new paradigm for information access, bridging web-scale retrieval with generative capabilities to deliver synthesized a…
MEM1: Learning to Synergize Memory and Reasoning for Efficient Long-Horizon Agents
Zijian Zhou, Ao Qu, Zhaoxuan Wu +6
Modern language agents must operate over long-horizon, multi-turn interactions, where they retrieve external information, adapt to observations, and answer interdependent queries.…
Diffusion-based Episodes Augmentation for Offline Multi-Agent Reinforcement Learning
Jihwan Oh, Sungnyun Kim, Gahee Kim +2
Offline multi-agent reinforcement learning (MARL) is increasingly recognized as crucial for effectively deploying RL algorithms in environments where real-time interaction is impra…