https://github.com/jl-wei/feature-inspiration
공식 코드Getting Inspiration for Feature Elicitation: App Store- vs. LLM-based Approach
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/jlab-nlp/retrieval-augmented-correction
공식 코드RAC: Efficient LLM Factuality Correction with Retrieval Augmentation
https://github.com/jlcmoore/llms-as-therapists
공식 코드https://github.com/jlinekai/clover
공식 코드Cost-effective Instruction Learning for Pathology Vision and Language Analysis
https://github.com/jliu4ai/capo
공식 코드CaPo: Cooperative Plan Optimization for Efficient Embodied Multi-Agent Cooperation
https://github.com/jmiemirza/conme
공식 코드ConMe: Rethinking Evaluation of Compositional Reasoning for Modern VLMs
https://github.com/jmiemirza/meta-prompting
공식 코드Meta-Prompting for Automating Zero-shot Visual Recognition with LLMs
https://github.com/jmnian/weak_label_for_rag
공식 코드W-RAG: Weakly Supervised Dense Retrieval in RAG for Open-domain Question Answering
https://github.com/jmnian/wrag
공식 코드W-RAG: Weakly Supervised Dense Retrieval in RAG for Open-domain Question Answering
https://github.com/jmrludan/tbm
공식 코드Interpretable-by-Design Text Understanding with Iteratively Generated Concept Bottleneck
https://github.com/jnzs1836/coblocks
공식 코드Your Co-Workers Matter: Evaluating Collaborative Capabilities of Language Models in Blocks World
https://github.com/joaodsmarques/lumberchunker
공식 코드https://github.com/joeljang/rlphf
공식 코드Personalized Soups: Personalized Large Language Model Alignment via Post-hoc Parameter Merging
https://github.com/joeying1019/sdif-da
공식 코드https://github.com/john-ai-lab/rapid
공식 코드Long-Context Inference with Retrieval-Augmented Speculative Decoding
https://github.com/john1226966735/adaptive-solver
공식 코드Adaptive-Solver Framework for Dynamic Strategy Selection in Large Language Model Reasoning
https://github.com/johnnay/llm-lobbyist
공식 코드https://github.com/jojacola/fuel
공식 코드Unveiling Environmental Impacts of Large Language Model Serving: A Functional Unit View
https://github.com/jokieleung/I-MCTS
공식 코드I-MCTS: Enhancing Agentic AutoML via Introspective Monte Carlo Tree Search
https://github.com/jonathanzha47/smartfinrag
공식 코드SMARTFinRAG: Interactive Modularized Financial RAG Benchmark
https://github.com/jonlin223/raccoon-geocoding
공식 코드https://github.com/joonspk-research/generative_agents
공식 코드https://github.com/joshengels/sae-probes
공식 코드Are Sparse Autoencoders Useful? A Case Study in Sparse Probing
https://github.com/joshua-zingale/plug-and-play-rst-ctg
공식 코드Language Model Sentence Completion with a Parser-Driven Rhetorical Control Method
https://github.com/joshuachou2018/autoba
공식 코드https://github.com/jou2024/EXPRAG
공식 코드Experience Retrieval-Augmentation with Electronic Health Records Enables Accurate Discharge QA
https://github.com/joydajunspacecraft/assertion_llm
공식 코드Assertion Detection Large Language Model In-context Learning LoRA Fine-tuning
https://github.com/joylimjy/leceval
공식 코드LecEval: An Automated Metric for Multimodal Knowledge Acquisition in Multimedia Learning
https://github.com/jp2425/scope2
공식 코드Enhancing Large Language Models with Faster Code Preprocessing for Vulnerability Detection
https://github.com/jpickard1/brad
공식 코드https://github.com/jsalt2024-evaluating-llms-for-astronomy/astro-arxiv-bot
공식 코드Designing an Evaluation Framework for Large Language Models in Astronomy Research
https://github.com/jshilong/gpt4roi
공식 코드GPT4RoI: Instruction Tuning Large Language Model on Region-of-Interest
https://github.com/jtonglet/seer
공식 코드SEER : A Knapsack approach to Exemplar Selection for In-Context HybridQA
https://github.com/julia-liuj/nlft
공식 코드https://github.com/juliagrosse/ults
공식 코드Uncertainty-Guided Optimization on Large Language Model Search Trees
https://github.com/juliancodaforno/cogbench
공식 코드CogBench: a large language model walks into a psychology lab
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.