https://github.com/franxyao/gpt-bargaining
공식 코드Improving Language Model Negotiation with Self-Play and In-Context Learning from AI Feedback
Papers with Code 아카이브
Language Modeling
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/fraunhofer-iais/informed_nlu
공식 코드Generating Prototypes for Contradiction Detection Using Large Language Models and Linguistic Rules
https://github.com/frederikkemarin/bend
공식 코드BEND: Benchmarking DNA Language Models on biologically meaningful tasks
https://github.com/freedomintelligence/acegpt
공식 코드https://github.com/freedomintelligence/huatuo-26m
공식 코드https://github.com/freedomintelligence/huatuogpt
공식 코드https://github.com/freedomintelligence/huatuogpt-ii
공식 코드HuatuoGPT-II, One-stage Training for Medical Adaption of LLMs
https://github.com/freedomintelligence/llmzoo
공식 코드https://github.com/freedomintelligence/remop
공식 코드https://github.com/freedomintelligence/sharegpt-4o-image
공식 코드ShareGPT-4o-Image: Aligning Multimodal Models with GPT-4o-Level Image Generation
https://github.com/freewym/espresso
공식 코드Espresso: A Fast End-to-end Neural Speech Recognition Toolkit
https://github.com/frenkie-chiang/danmakutppbench
공식 코드DanmakuTPPBench: A Multi-modal Benchmark for Temporal Point Process Modeling and Understanding
https://github.com/frenzymath/REAL-Prover
공식 코드REAL-Prover: Retrieval Augmented Lean Prover for Mathematical Reasoning
https://github.com/frotaur/icmlbackperp
공식 코드https://github.com/frotaur/llm-arrows-of-time
공식 코드https://github.com/fsant0s/ERASMO
공식 코드ERASMO: Leveraging Large Language Models for Enhanced Clustering Segmentation
https://github.com/fsoft-ai4code/xmainframe
공식 코드XMainframe: A Large Language Model for Mainframe Modernization
https://github.com/ftramer/LM_Memorization
공식 코드https://github.com/fu-dayuan/preact
공식 코드https://github.com/fudan-zvg/roadnet
공식 코드https://github.com/fudandisc/disc-finllm
공식 코드DISC-FinLLM: A Chinese Financial Large Language Model based on Multiple Experts Fine-tuning
https://github.com/fudandisc/piors
공식 코드https://github.com/fudandisc/socialagent
공식 코드https://github.com/fudanselab/agent4se-paper-list
공식 코드Large Language Model-Based Agents for Software Engineering: A Survey
https://github.com/fuhailiailab/graphseqlm
공식 코드GraphSeqLM: A Unified Graph Language Framework for Omic Graph Learning
https://github.com/fukexue/mcp-bert
공식 코드https://github.com/fukexue/pos-bert
공식 코드https://github.com/funaudiollm/inspiremusic
공식 코드https://github.com/function2-llx/mmmm
공식 코드VividMed: Vision Language Model with Versatile Visual Grounding for Medicine
https://github.com/funz-0/promptad
공식 코드PromptAD: Learning Prompts with only Normal Samples for Few-Shot Anomaly Detection
https://github.com/furiosa-ai/ssm-peft
공식 코드https://github.com/furrutiav/nllf-emnlp-2023
공식 코드Deep Natural Language Feature Learning for Interpretable Prediction
https://github.com/fursovia/dilma
공식 코드Differentiable Language Model Adversarial Attacks on Categorical Sequence Classifiers
https://github.com/future-house/paper-qa
공식 코드Language agents achieve superhuman synthesis of scientific knowledge
https://github.com/futureeeeee/cognibench
공식 코드https://github.com/futureeeeee/mba
공식 코드MBA-RAG: a Bandit Approach for Adaptive Retrieval-Augmented Generation through Question Complexity
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.