https://github.com/lena-voita/the-story-of-heads
공식 코드Analyzing the Source and Target Contributions to Predictions in Neural Machine Translation
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/lennart-finke/simple_stories_generate
공식 코드https://github.com/leo-liuzy/probe-across-time
공식 코드https://github.com/leo-liuzy/propmend
공식 코드https://github.com/leondz/lm_risk_cards
공식 코드https://github.com/leslie071564/big5-llm-negotiator
공식 코드How Personality Traits Influence Negotiation Outcomes? A Simulation based on Large Language Models
https://github.com/lezhang7/moqagpt
공식 코드MoqaGPT : Zero-Shot Multi-modal Open-domain Question Answering with Large Language Model
https://github.com/lezhang7/rearank
공식 코드REARANK: Reasoning Re-ranking Agent via Reinforcement Learning
https://github.com/lfsszd/cs-drafting
공식 코드https://github.com/lg-nlp/korwikitablequestions
공식 코드https://github.com/lgalke/easy2deeplearn
공식 코드https://github.com/lgessler/microbert
공식 코드https://github.com/lgessler/pronto
공식 코드https://github.com/lgrco/l-greco
공식 코드L-GreCo: Layerwise-Adaptive Gradient Compression for Efficient and Accurate Deep Learning
https://github.com/lhao499/blockwise-parallel-transformer
공식 코드https://github.com/lhryang/fsd
공식 코드A Frustratingly Simple Decoding Method for Neural Text Generation
https://github.com/li-hyn/llm_catastrophicforgetting
공식 코드Revisiting Catastrophic Forgetting in Large Language Model Tuning
https://github.com/li-wanhua/label2label
공식 코드Label2Label: A Language Modeling Framework for Multi-Attribute Learning
https://github.com/li001029/Medical_LLM_ASR
공식 코드Searching for Best Practices in Medical Transcription with Large Language Model
https://github.com/liammagee/discord-openai-chatbot
공식 코드Structured Like a Language Model: Analysing AI as an Automated Subject
https://github.com/liangzid/alignmentextraction
공식 코드"Yes, My LoRD." Guiding Language Model Extraction with Locality Reinforced Distillation
https://github.com/liangzid/lord-mea
공식 코드"Yes, My LoRD." Guiding Language Model Extraction with Locality Reinforced Distillation
https://github.com/lianjiatech/belle
공식 코드https://github.com/libowen2121/Imitation-Learning-for-Unsup-Parsing
공식 코드https://github.com/lichuangnus/crs-paper-list
공식 코드https://github.com/lightblue-tech/aloftrag
공식 코드ALoFTRAG: Automatic Local Fine Tuning for Retrieval Augmented Generation
https://github.com/lihaoxin2020/narrowbert
공식 코드NarrowBERT: Accelerating Masked Language Model Pretraining and Inference
https://github.com/lihaoxin2020/summarization-based-document-ids-for-generative-retrieval
공식 코드Summarization-Based Document IDs for Generative Retrieval with Language Models
https://github.com/lijian16/spo
공식 코드https://github.com/lijiazheng99/aera
공식 코드Distilling ChatGPT for Explainable Automated Student Answer Assessment
https://github.com/lijm48/imccd
공식 코드https://github.com/lijuntaopku/UFD
공식 코드Unsupervised Domain Adaptation of a Pretrained Cross-Lingual Language Model
https://github.com/likenneth/dialogue_action_token
공식 코드Dialogue Action Tokens: Steering Language Models in Goal-Directed Dialogue with a Multi-Turn Planner
https://github.com/likenneth/honest_llama
공식 코드Inference-Time Intervention: Eliciting Truthful Answers from a Language Model
https://github.com/likenneth/persona_drift
공식 코드Measuring and Controlling Instruction (In)Stability in Language Model Dialogs
https://github.com/likenneth/q_probe
공식 코드Q-Probe: A Lightweight Approach to Reward Maximization for Language Models
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.