Zilong Wang
PhD Student at UC San Diego, CSE.
Welcome! I am a fifth-year PhD student at UC San Diego advised by Prof. Jingbo Shang. I spent wonderful time doing research at Amazon Foundation Model, Google Cloud AI, Google DeepMind, Google Research, Adobe Research, and Microsoft Research Asia. I received my B.S. in Computer Science from Peking University in 2020, where I was advised by Prof. Xiaojun Wan.
My research spans several areas of natural language processing, including reasoning, information extraction, multimodal learning, and language modeling. I primarily focus on LLM post-training, targeting at aligning LLMs to complex reasoning and planning with knowledge-intensive queries, autonomous agents, and mathematical problem-solving. Currently, I am exploring the collaboration of weak and strong LLMs and the process supervision with Monte Carlo Tree Search.
My earlier research focuses on visually-rich document understanding, where I enabled language models to encode multimodal features and understand the rich contents in documents of various formats, such as forms, receipts, web pages, etc.
news
| Sep 1, 2024 | Speculative RAG: Enhancing Retrieval Augmented Generation through Drafting New paper alert! Achieve state-of-the-art performance both in accuracy and efficiency for RAG. |
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| Jul 26, 2024 | OFFICEBENCH: Benchmarking Language Agents across Multiple Applications for Office Automation New paper alert! Check our latest LLM agent benchmark on the office automation scenario! |
| May 27, 2024 | Debug like a Human: A Large Language Model Debugger via Verifying Runtime Execution Step-by-step has been accepted by ACL 2024 Findings! |
| Jan 16, 2024 | Chain-of-Table: Evolving Tables in the Reasoning Chain for Table Understanding has been accepted by ICLR 2024! |
| Dec 9, 2023 | A Study on Robustness and Reliability of Large Language Model Code Generation got received by AAAI 2024! |