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Sangam Lee

ICML 2026×2ACL 2026KDD 2026对齐与偏好评测与基准检索与知识推理智能体与工具
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1 一作 · 4 篇 · ICML 2026 / ACL 2026 / KDD 2026

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2026 顶会论文

4
作者位次 #2/3ICML 2026Poster· General Machine Learning / Data

Persona2Web: Benchmarking Personalized Web Agents for Contextual Reasoning with User History

Serin Kim · Sangam Lee · Dongha Lee

推理智能体与工具对齐与偏好OpenReview
作者位次 #2/4ICML 2026Poster· Deep Learning / Large Language Models

BESPOKE: Benchmark for Search-Augmented Large Language Model Personalization via Diagnostic Feedback

Hyunseo Kim · Sangam Lee · Kwangwook Seo · Dongha Lee

对齐与偏好评测与基准检索与知识OpenReview
一作ACL 2026Findings· Findings of ACL

Why These Documents? Explainable Generative Retrieval with Hierarchical Category Paths

Sangam Lee · Ryang Heo · SeongKu Kang · Susik Yoon · Jinyoung Yeo · Dongha Lee

摘要

Generative retrieval directly decode a document identifier (i.e., docid) in response to a query, making it impossible to provide users with explanations as an answer for “why is this document retrieved?”. To address this limitation, we propose Hierarchical Category Path-Enhanced Generative Retrie...

代码效率与系统数据与预训练OpenReview 项目页
作者位次 #4/5KDD 2026Oral· Knowledge Discovery & Data Mining

SAGEO Arena: A Realistic Environment for Evaluating Search-Augmented Generative Engine Optimization

Sunghwan Kim · Wooseok Jeong · Serin Kim · Sangam Lee · Dongha Lee

检索与知识评测与基准OpenReview

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