Ph.D. student at UC San Diego;
B.S. in Computer Science at Peking University
UC San DiegoSan Diego254 followers27 repositories
Repositories
Scripts for fine-tuning Meta Llama3 with composable FSDP & PEFT methods to cover single/multi-node GPUs. Supports default & custom datasets for applications such as summarization and Q&A. Supporting a number of candid inference solutions such as HF TGI, VLLM for local or cloud deployment. Demo apps to showcase Meta Llama3 for WhatsApp & Messenger.
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Reasoning with Language Model is Planning with World Model
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ToolkenGPT: Augmenting Frozen Language Models with Massive Tools via Tool Embeddings - NeurIPS 2023 (oral)
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Official implementation of "Reasoning by Superposition: A Theoretical Perspective on Chain of Continuous Thought" (NeurIPS 2025)
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Official Implementation of "Emergence of Superposition: Unveiling the Training Dynamics of Chain of Continuous Thought"
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Training codebase for K2-V2
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AgentLab: An open-source framework for developing, testing, and benchmarking web agents on diverse tasks, designed for scalability and reproducibility.
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Sentiment analysis on IMDB dataset, based on LSTM and word attention, implemented with PyTorch
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The official Meta Llama 3 GitHub site
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Website for DSC 204a, Winter 2024
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List of language agents based on paper "Cognitive Architectures for Language Agents"
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Repository for the ACL2023 paper "Reasoning with Language Model Prompting: A Survey".
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My notes for research/courses
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A trend starts from "Chain of Thought Prompting Elicits Reasoning in Large Language Models".
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A spreadsheet script for automatically paper meta-data completion
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This repository contains a collection of papers and resources on Reasoning in Large Language Models.
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A simple but effective approach for joint entity and relation extraction on ACE 05 dataset
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A collection of information for 2018 fall CS master programs.
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Assignments for Berkeley CS 285: Deep Reinforcement Learning (Fall 2021)
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Software Engineering Course Project of Peking University Fall Semester 2021
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A bert-based model implemented in PyTorch, for distinguishing texts generated by machine with human-written text.
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