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Mountain View

Jiaxin Zhang

Expert
@jxzhangjhu

AI Researcher

Awesome-LLM-RAG. Awesome-LLM-RAG: a curated list of advanced retrieval augmented generation (RAG) in Large Language Models

1.3k

Awesome-LLM-Uncertainty-Reliability-Robustness. Awesome-LLM-Robustness: a curated list of Uncertainty, Reliability and Robustness in Large Language Models

832

Awesome-LLM-Prompt-Optimization. Awesome-LLM-Prompt-Optimization: a curated list of advanced prompt optimization and tuning methods in Large Language Models

412

MatDesINNe. Inverse materials design via invertible neural networks

67

awesome-LLM-controlled-decoding-generation. awesome-LLM-controlled-constrained-generation

57

Awesome-OOD-detection. SOTA work about out-of-distribution detection

14

awesome-LMM-Hallucination. List of papers on Hallucination in LMM

10

awesome-energy-based-model. Energy-based model

6

Awesome-LLM-Fine-Tuning-Alignment. LLM fine-tuning

5

awesome-normalizing-flows. A list of awesome resources on normalizing flows.

5

PGM. Probabilistic Graphical Model Construction

4

OptiMUS-2. Optimization Modeling Using mip Solvers and large language models

4

Robustness-and-Uncertainty. Robustness, uncertainty, safety and trustworthiness in deep learning, e.g., NLP, CV, multimodality

3

llama-lab. Python

2

Say-I-Dont-Know. [ICML'2024] Can AI Assistants Know What They Don't Know?

2

LLMLingua. To speed up LLMs' inference and enhance LLM's perceive of key information, compress the prompt and KV-Cache, which achieves up to 20x compression with minimal performance loss.

2

DataDreamer. DataDreamer: Prompt. Generate Synthetic Data. Train & Align Models.   🤖💤

2

llm-datasets. High-quality datasets, tools, and concepts for LLM fine-tuning.

2

sammo. A library for prompt engineering and optimization (SAMMO = Structure-aware Multi-Objective Metaprompt Optimization)

2

Awesome-LLM4AD. A curated list of awesome LLM for Autonomous Driving resources (continually updated)

1

awesome-llm-powered-agent. Awesome things about LLM-powered agents. Papers / Repos / Blogs / ...

1

safe-rlhf. Safe RLHF: Constrained Value Alignment via Safe Reinforcement Learning from Human Feedback

1

dynamo. A Datacenter Scale Distributed Inference Serving Framework

1

ijepa. Official codebase for I-JEPA, the Image-based Joint-Embedding Predictive Architecture. First outlined in the CVPR paper, "Self-supervised learning from images with a joint-embedding predictive architecture."

1

AdaCAD. Code for paper "AdaCAD: Adaptively Decoding to Balance Conflicts between Contextual and Parametric Knowledge"

1

LLAMBO. Official Repository for LLAMBO "Large Language Models to Enhance Bayesian Optimization"

1

DExperts. code associated with ACL 2021 DExperts paper

1

ML-Papers-of-the-Week. 🔥Highlighting the top ML papers every week.

1

Awesome-LLM-Strawberry. A collection of LLM papers, blogs, and projects, with a focus on OpenAI o1 and reasoning techniques.

1

FineGrainedRLHF. Python

1

gfn-lm-tuning. Jupyter Notebook

1

Qwen-Agent. Agent framework and applications built upon Qwen>=2.0, featuring Function Calling, Code Interpreter, RAG, and Chrome extension.

1

long_hallucinations. Codebase for reproducing the experiments of the semantic uncertainty paper (paragraph-length experiments).

1

awesome-llm-role-playing-with-persona. Awesome-llm-role-playing-with-persona: a curated list of resources for large language models for role-playing with assigned personas

1

awesome-auto-alignment. Collection of papers for scalable automated alignment.

1

llm-uncertainty. code repo for ICLR 2024 paper "Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs"

1

ERASE. Code and Data for "Language Modeling with Editable External Knowledge"

1

AlignLLMHumanSurvey. Aligning Large Language Models with Human: A Survey

1

CodeUltraFeedback. CodeUltraFeedback: aligning large language models to coding preferences

1

apricot. Source code of "Calibrating Large Language Models Using Their Generations Only", ACL2024

1

sami. Self-Supervised Alignment with Mutual Information

1

PackLLM. Pack of LLMs: Model Fusion at Test-Time via Perplexity Optimization

1

MetaAligner. Models, data, and codes for the paper: MetaAligner: Towards Generalizable Multi-Objective Alignment of Language Models

1

olmes. Reproducible, flexible LLM evaluations

1

LLM101n. LLM101n: Let's build a Storyteller

1

self-rewarding-lm-pytorch. Implementation of the training framework proposed in Self-Rewarding Language Model, from MetaAI

1

CRAG. Corrective Retrieval Augmented Generation

1

iprompt2. Finding semantically meaningful and accurate prompts.

1

Awesome-LLMOps. An awesome & curated list of best LLMOps tools for developers

1

opro. official code for "Large Language Models as Optimizers"

1

finetuner. :dart: Task-oriented embedding tuning for BERT, CLIP, etc.

1

SelfAware. Do Large Language Models Know What They Don’t Know?

1

awesome-production-machine-learning. A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

1

cookbook. Jupyter Notebook

1

CriticBench. Repo for "CriticBench: Benchmarking LLMs for Critique-Correct Reasoning"

1