Large Language Model
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/exlaw/dlma
공식 코드Direct Large Language Model Alignment Through Self-Rewarding Contrastive Prompt Distillation
https://github.com/expertailab/textual-entailment-for-effective-triple-validation-in-object-prediction
공식 코드Textual Entailment for Effective Triple Validation in Object Prediction
https://github.com/explainableml/zeraucap
공식 코드Zero-shot audio captioning with audio-language model guidance and audio context keywords
https://github.com/explainableml/zs-a2t
공식 코드Zero-shot Translation of Attention Patterns in VQA Models to Natural Language
https://github.com/exploration-lab/iitk-semeval-2024-task-2-clinical-nli
공식 코드https://github.com/ezelikman/parsel
공식 코드Parsel: Algorithmic Reasoning with Language Models by Composing Decompositions
https://github.com/f4biian/hallurag
공식 코드https://github.com/facebookresearch/GraphLog
공식 코드https://github.com/facebookresearch/crag
공식 코드https://github.com/facebookresearch/dual-system-for-visual-language-reasoning
공식 코드DOMINO: A Dual-System for Multi-step Visual Language Reasoning
https://github.com/facebookresearch/head-to-tail
공식 코드https://github.com/facebookresearch/motif
공식 코드Motif: Intrinsic Motivation from Artificial Intelligence Feedback
https://github.com/facebookresearch/oni
공식 코드Online Intrinsic Rewards for Decision Making Agents from Large Language Model Feedback
https://github.com/facebookresearch/reasonir
공식 코드https://github.com/facebookresearch/sweet_rl
공식 코드SWEET-RL: Training Multi-Turn LLM Agents on Collaborative Reasoning Tasks
https://github.com/facebookresearch/vjepa2
공식 코드V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
https://github.com/facebookresearch/zero
공식 코드https://github.com/faisalqarah/saudibert
공식 코드SaudiBERT: A Large Language Model Pretrained on Saudi Dialect Corpora
https://github.com/fangguo1/mcranker
공식 코드MCRanker: Generating Diverse Criteria On-the-Fly to Improve Point-wise LLM Rankers
https://github.com/fangshiyuu/codrivingllm
공식 코드https://github.com/fanhaoxiang1/litlinker
공식 코드https://github.com/fanourakis/experimental-review-ea
공식 코드Knowledge Graph Embedding Methods for Entity Alignment: An Experimental Review
https://github.com/fanyin3639/lid-hallucinationdetection
공식 코드Characterizing Truthfulness in Large Language Model Generations with Local Intrinsic Dimension
https://github.com/fardinsaad/gricean-norms
공식 코드https://github.com/fate-ubw/raglab
공식 코드RAGLAB: A Modular and Research-Oriented Unified Framework for Retrieval-Augmented Generation
https://github.com/fcihraeipnusnacwh/mrc-ce
공식 코드Large-scale Multi-granular Concept Extraction Based on Machine Reading Comprehension
https://github.com/fede-stack/adaptive-rag-for-psychological-assessment
공식 코드https://github.com/feiliu36/eoh
공식 코드Evolution of Heuristics: Towards Efficient Automatic Algorithm Design Using Large Language Model
https://github.com/feiwang96/Data-Advisor
공식 코드Data Advisor: Dynamic Data Curation for Safety Alignment of Large Language Models
https://github.com/feiwangyuzhou/ternarycl
공식 코드Alleviating Sparsity of Open Knowledge Graphs with Ternary Contrastive Learning
https://github.com/felixchan9527/versagen_official
공식 코드VersaGen: Unleashing Versatile Visual Control for Text-to-Image Synthesis
https://github.com/fengchen025/PhenoAssistant
공식 코드PhenoAssistant: A Conversational Multi-Agent AI System for Automated Plant Phenotyping
https://github.com/fenghetan9/llm4seg
공식 코드Pre-Trained LLM is a Semantic-Aware and Generalizable Segmentation Booster
https://github.com/fengranMark/PersonalizedCIR
공식 코드How to Leverage Personal Textual Knowledge for Personalized Conversational Information Retrieval
https://github.com/feradauto/moralcot
공식 코드When to Make Exceptions: Exploring Language Models as Accounts of Human Moral Judgment
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.