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Roei Herzig

CVPR 2026×2ICLR 2026×2ACL 2026多模态智能体与工具推理数据与预训练对齐与偏好
新星分资深
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合作网络6
0 一作 · 5 篇 · CVPR 2026 / ICLR 2026 / ACL 2026

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2026 顶会论文

5
作者位次 #16/24CVPR 2026Poster· Computer Vision & Pattern Recognition

ChartNet: A Million-Scale, High-Quality Multimodal Dataset for Robust Chart Understanding

Jovana Kondic · Pengyuan Li · Dhiraj Joshi · Isaac Sanchez · Ben Wiesel · Shafiq Abedin · Amit Alfassy · Eli Schwartz · Daniel Caraballo · Yagmur Gizem Cinar · Florian Scheidegger · Steven I. Ross · Daniel Karl I. Weidele · Hang Hua · Ekaterina Arutyunova · Roei Herzig · Zihan Wang · Xinyue Yu · Yunfei Zhao · Sicong Jiang · Minghao Liu · Qunshu Lin · Aude Oliva · Rogerio Feris

多模态数据与预训练OpenReview 项目页
作者位次 #11/11ACL 2026Findings· Findings of ACL

Activation Reward Models for Few-Shot Model Alignment

Tianning Chai · Chancharik Mitra · Brandon Huang · Gautam Rajendrakumar Gare · Zhiqiu Lin · Assaf Arbelle · Leonid Karlinsky · Rogerio Feris · trevor darrell · Deva Ramanan · Roei Herzig

摘要

Aligning Large Language Models (LLMs) and Large Multimodal Models (LMMs) to human preferences is crucial for improving their real-world behavior. A common approach is to use reward models that enable reinforcement-learning post-training. However, traditional reward modeling requires finetuning on...

对齐与偏好可解释性强化学习与后训练OpenReview 项目页

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