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Language Modeling

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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.

https://github.com/ag1988/injecting_numeracy

공식 코드

Injecting Numerical Reasoning Skills into Language Models

https://github.com/ag1988/value_aware_attn

공식 코드

Value-aware Approximate Attention

https://github.com/ag2ai/ag2

공식 코드

Adaptive In-conversation Team Building for Language Model Agents

https://github.com/agarwalishika/delift

공식 코드

DELIFT: Data Efficient Language model Instruction Fine Tuning

https://github.com/agemagician/Ankh

공식 코드

Ankh: Optimized Protein Language Model Unlocks General-Purpose Modelling

https://github.com/agencyenterprise/promptinject

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Ignore Previous Prompt: Attack Techniques For Language Models

https://github.com/aghie/parsing-as-pretraining

공식 코드

Parsing as Pretraining

https://github.com/aghyad-deeb/unlearning_evaluation

공식 코드

Do Unlearning Methods Remove Information from Language Model Weights?

https://github.com/agiping/godel-scheduler

공식 코드

Topology-aware Preemptive Scheduling for Co-located LLM Workloads

https://github.com/agiresearch/InstructGLM

공식 코드

Language is All a Graph Needs

https://github.com/agiresearch/autoflow

공식 코드

AutoFlow: Automated Workflow Generation for Large Language Model Agents

https://github.com/agiresearch/waragent

공식 코드

War and Peace (WarAgent): Large Language Model-based Multi-Agent Simulation of World Wars

https://github.com/ahmedssabir/Visual-Semantic-Relatedness-with-Word-Embedding

공식 코드

Visual Re-ranking with Natural Language Understanding for Text Spotting

https://github.com/ahoho/inferential-decompositions

공식 코드

Natural Language Decompositions of Implicit Content Enable Better Text Representations

https://github.com/ahren09/agentreview

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AgentReview: Exploring Peer Review Dynamics with LLM Agents

https://github.com/ai-application-and-integration-lab/sam4mllm

공식 코드

SAM4MLLM: Enhance Multi-Modal Large Language Model for Referring Expression Segmentation

https://github.com/ai-da-stc/generative-ai-research-babylm

공식 코드

When Babies Teach Babies: Can student knowledge sharing outperform Teacher-Guided Distillation on small datasets?

https://github.com/ai-for-science/mozi

공식 코드

MoZIP: A Multilingual Benchmark to Evaluate Large Language Models in Intellectual Property

https://github.com/ai-hpc-research-team/git-mol

공식 코드

GIT-Mol: A Multi-modal Large Language Model for Molecular Science with Graph, Image, and Text

https://github.com/ai-hpc-research-team/slm4crp

공식 코드

A Self-feedback Knowledge Elicitation Approach for Chemical Reaction Predictions

https://github.com/ai-in-complex-systems-lab/llm-honeypot

공식 코드

LLM Honeypot: Leveraging Large Language Models as Advanced Interactive Honeypot Systems

https://github.com/ai21labs/factor

공식 코드

Generating Benchmarks for Factuality Evaluation of Language Models

https://github.com/ai21labs/in-context-ralm

공식 코드

In-Context Retrieval-Augmented Language Models

https://github.com/ai4colonoscopy/intelliscope

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Frontiers in Intelligent Colonoscopy

https://github.com/ai4eic/ai4eichackathon2023-streamlit

공식 코드

Physics Event Classification Using Large Language Models

https://github.com/ai4finance-foundation/fingpt

공식 코드

FinGPT: Open-Source Financial Large Language Models

https://github.com/ai4finance-foundation/finnlp

공식 코드

FinGPT: Open-Source Financial Large Language Models

https://github.com/ai4science-ym/hiceller

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Celler:A Genomic Language Model for Long-Tailed Single-Cell Annotation

https://github.com/aiai-99/katzbot

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KatzBot: Revolutionizing Academic Chatbot for Enhanced Communication

https://github.com/aialt/medinst

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MedINST: Meta Dataset of Biomedical Instructions

https://github.com/aicherc/adaptive_tbptt

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Adaptively Truncating Backpropagation Through Time to Control Gradient Bias

https://github.com/aida-ugent/skillgpt

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SkillGPT: a RESTful API service for skill extraction and standardization using a Large Language Model

https://github.com/aidc-ai/ovis

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Ovis: Structural Embedding Alignment for Multimodal Large Language Model

https://github.com/aielte-research/HackSynth

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HackSynth: LLM Agent and Evaluation Framework for Autonomous Penetration Testing

https://github.com/aieng-lab/math-mutator

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MAMUT: A Novel Framework for Modifying Mathematical Formulas for the Generation of Specialized Datasets for Language Model Training

https://github.com/aieng-lab/transformer-math-evaluation

공식 코드

MAMUT: A Novel Framework for Modifying Mathematical Formulas for the Generation of Specialized Datasets for Language Model Training

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