https://github.com/salesforce/CodeGen
공식 코드CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis
Papers with Code 아카이브
Large Language Model
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/salesforce/MultiHopKG
공식 코드https://github.com/salesforce/diversesumm
공식 코드https://github.com/salesforce/jaxformer
공식 코드CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis
https://github.com/salesforce/summary-of-a-haystack
공식 코드Summary of a Haystack: A Challenge to Long-Context LLMs and RAG Systems
https://github.com/salesforceairesearch/agentlite
공식 코드AgentLite: A Lightweight Library for Building and Advancing Task-Oriented LLM Agent System
https://github.com/salesforceairesearch/answer-engine-eval
공식 코드Search Engines in an AI Era: The False Promise of Factual and Verifiable Source-Cited Responses
https://github.com/salesforceairesearch/contextualjudgebench
공식 코드Does Context Matter? ContextualJudgeBench for Evaluating LLM-based Judges in Contextual Settings
https://github.com/salesforceairesearch/faitheval
공식 코드https://github.com/salesforceairesearch/jetts-benchmark
공식 코드https://github.com/sallmanm/synsim
공식 코드https://github.com/salt-nlp/chain-of-thought-bias
공식 코드On Second Thought, Let's Not Think Step by Step! Bias and Toxicity in Zero-Shot Reasoning
https://github.com/salt-nlp/dylan
공식 코드A Dynamic LLM-Powered Agent Network for Task-Oriented Agent Collaboration
https://github.com/sam-rag/sam_rag
공식 코드https://github.com/samholt/DiscoPOP
공식 코드Discovering Preference Optimization Algorithms with and for Large Language Models
https://github.com/samholt/l2mac
공식 코드L2MAC: Large Language Model Automatic Computer for Extensive Code Generation
https://github.com/samleoqh/MSCG-Net
공식 코드https://github.com/samsung/nl-iti
공식 코드Non-Linear Inference Time Intervention: Improving LLM Truthfulness
https://github.com/samuelsimko/crl-llm-defense
공식 코드Improving Large Language Model Safety with Contrastive Representation Learning
https://github.com/samyateia/bioasq2024
공식 코드https://github.com/sanchaitahazra/t4text
공식 코드To Tell The Truth: Language of Deception and Language Models
https://github.com/sangwu99/simplot
공식 코드SIMPLOT: Enhancing Chart Question Answering by Distilling Essentials
https://github.com/sanxing-chen/adv-fake
공식 코드https://github.com/saprmarks/geometry-of-truth
공식 코드https://github.com/saptarshi059/cdqa-project
공식 코드Towards Efficient Methods in Medical Question Answering using Knowledge Graph Embeddings
https://github.com/sarahmart/hardmath
공식 코드HARDMath: A Benchmark Dataset for Challenging Problems in Applied Mathematics
https://github.com/sarashs/fpga_agi
공식 코드SynthAI: A Multi Agent Generative AI Framework for Automated Modular HLS Design Generation
https://github.com/sarthak-choudhary/stealthy_attacks_against_rag
공식 코드Through the Stealth Lens: Rethinking Attacks and Defenses in RAG
https://github.com/sarus-tech/dp-rag
공식 코드https://github.com/sashakolpakov/granni
공식 코드Robust affine point matching via quadratic assignment on Grassmannians
https://github.com/sashakolpakov/rag
공식 코드Robust affine point matching via quadratic assignment on Grassmannians
https://github.com/sashakolpakov/roam
공식 코드Robust affine point matching via quadratic assignment on Grassmannians
https://github.com/sashrikap/context-steering
공식 코드CoS: Enhancing Personalization and Mitigating Bias with Context Steering
https://github.com/sastpg/covo
공식 코드Consistent Paths Lead to Truth: Self-Rewarding Reinforcement Learning for LLM Reasoning
https://github.com/satpreetsingh/racer
공식 코드RACER: An LLM-powered Methodology for Scalable Analysis of Semi-structured Mental Health Interviews
https://github.com/satsuki2486441738/fusionaudio
공식 코드FusionAudio-1.2M: Towards Fine-grained Audio Captioning with Multimodal Contextual Fusion
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.