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Large Language Model

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

https://github.com/embedded-robotics/path-rag

공식 코드

Path-RAG: Knowledge-Guided Key Region Retrieval for Open-ended Pathology Visual Question Answering

https://github.com/emocareai/chatpsychiatrist

공식 코드

ChatCounselor: A Large Language Models for Mental Health Support

https://github.com/emorynlp/gpt-abceval

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Leveraging Large Language Models for Automated Dialogue Analysis

https://github.com/emu1729/gist

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GIST: Generating Image-Specific Text for Fine-grained Object Classification

https://github.com/endlinc/llava-spacesgg

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LLaVA-SpaceSGG: Visual Instruct Tuning for Open-vocabulary Scene Graph Generation with Enhanced Spatial Relations

https://github.com/endrikacupaj/CARTON

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Context Transformer with Stacked Pointer Networks for Conversational Question Answering over Knowledge Graphs

https://github.com/endrikacupaj/LASAGNE

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Conversational Question Answering over Knowledge Graphs with Transformer and Graph Attention Networks

https://github.com/endrikacupaj/VOGUE

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VOGUE: Answer Verbalization through Multi-Task Learning

https://github.com/endrikacupaj/praline

공식 코드

Contrastive Representation Learning for Conversational Question Answering over Knowledge Graphs

https://github.com/engineeringsoftware/coditt5

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CoditT5: Pretraining for Source Code and Natural Language Editing

https://github.com/engineeringsoftware/exlong

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A Tool for Generating Exceptional Behavior Tests With Large Language Models

https://github.com/engineerkong/emorl

공식 코드

EMORL: Ensemble Multi-Objective Reinforcement Learning for Efficient and Flexible LLM Fine-Tuning

https://github.com/eoinkenny/regulatable_llms

공식 코드

Regulation of Language Models With Interpretability Will Likely Result In A Performance Trade-Off

https://github.com/epfl-ml4ed/ClickSightLBR25

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ClickSight: Interpreting Student Clickstreams to Reveal Insights on Learning Strategies via LLMs

https://github.com/epfl-ml4ed/courserec

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Finding Paths for Explainable MOOC Recommendation: A Learner Perspective

https://github.com/epfllm/megatron-llm

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Executable Code Actions Elicit Better LLM Agents

https://github.com/erfanloghmani/myket-android-application-market-dataset

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TGB 2.0: A Benchmark for Learning on Temporal Knowledge Graphs and Heterogeneous Graphs

https://github.com/ericlbuehler/xlora

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X-LoRA: Mixture of Low-Rank Adapter Experts, a Flexible Framework for Large Language Models with Applications in Protein Mechanics and Molecular Design

https://github.com/ericlee878/ScienceDeJargonizer

공식 코드

De-jargonizing Science for Journalists with GPT-4: A Pilot Study

https://github.com/ernlavr/multihal

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MultiHal: Multilingual Dataset for Knowledge-Graph Grounded Evaluation of LLM Hallucinations

https://github.com/eteced/arithmetic_finetuning_v1

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ArthModel: Enhance Arithmetic Skills to Large Language Model

https://github.com/eth-lre/verify-then-generate

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Stepwise Verification and Remediation of Student Reasoning Errors with Large Language Model Tutors

https://github.com/eth-nlped/mathdial

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MathDial: A Dialogue Tutoring Dataset with Rich Pedagogical Properties Grounded in Math Reasoning Problems

https://github.com/ethanbradley/synfintabgen

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SynFinTabs: A Dataset of Synthetic Financial Tables for Information and Table Extraction

https://github.com/ethannlin/schnovel

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Evaluating and Enhancing Large Language Models for Novelty Assessment in Scholarly Publications

https://github.com/ethz-spylab/ctf-satml24-data-analysis

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Dataset and Lessons Learned from the 2024 SaTML LLM Capture-the-Flag Competition

https://github.com/eustema-s-p-a/scarf

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A System for Comprehensive Assessment of RAG Frameworks

https://github.com/event-ahu/eventstr

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EventSTR: A Benchmark Dataset and Baselines for Event Stream based Scene Text Recognition

https://github.com/event-ahu/medical_image_analysis

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R2GenCSR: Retrieving Context Samples for Large Language Model based X-ray Medical Report Generation

https://github.com/event-ahu/openpar

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Pedestrian Attribute Recognition: A New Benchmark Dataset and A Large Language Model Augmented Framework

https://github.com/event-ahu/vfm-det

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VFM-Det: Towards High-Performance Vehicle Detection via Large Foundation Models

https://github.com/everm0re/erarag-official

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EraRAG: Efficient and Incremental Retrieval Augmented Generation for Growing Corpora

https://github.com/evkg/evkg

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EVKG: An Interlinked and Interoperable Electric Vehicle Knowledge Graph for Smart Transportation System

https://github.com/evolvinglmms-lab/multimodal-search-r1

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MMSearch-R1: Incentivizing LMMs to Search

https://github.com/ewendawi/llamea-bo

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LLaMEA-BO: A Large Language Model Evolutionary Algorithm for Automatically Generating Bayesian Optimization Algorithms

https://github.com/ewok-core/ewok

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Elements of World Knowledge (EWOK): A cognition-inspired framework for evaluating basic world knowledge in language models

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