https://github.com/hazyresearch/scatterbrain
공식 코드Scatterbrain: Unifying Sparse and Low-rank Attention Approximation
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/hazyresearch/smoothie
공식 코드https://github.com/hbx-hbx/mistral-interact
공식 코드Tell Me More! Towards Implicit User Intention Understanding of Language Model Driven Agents
https://github.com/hcplab-sysu/causalvlr
공식 코드MEIA: Multimodal Embodied Perception and Interaction in Unknown Environments
https://github.com/hdzhang-code/smallID
공식 코드https://github.com/he159ok/benchmark-of-uncertainty-estimation-methods-in-text-summarization
공식 코드Can We Trust the Performance Evaluation of Uncertainty Estimation Methods in Text Summarization?
https://github.com/hecta-uom/m3
공식 코드MedMine: Examining Pre-trained Language Models on Medication Mining
https://github.com/heegyukim/gta
공식 코드GTA: Gated Toxicity Avoidance for LM Performance Preservation
https://github.com/heidelberg-nlp/graphlanguagemodels
공식 코드https://github.com/heimingx/pcm
공식 코드Progressive Class Semantic Matching for Semi-supervised Text Classification
https://github.com/helsinki-nlp/lm-vs-mt
공식 코드A Comparison of Language Modeling and Translation as Multilingual Pretraining Objectives
https://github.com/helsinki-nlp/uncertainty-aware-nli
공식 코드Uncertainty-Aware Natural Language Inference with Stochastic Weight Averaging
https://github.com/hemile/iswc-challenge
공식 코드Prompting as Probing: Using Language Models for Knowledge Base Construction
https://github.com/hemingkx/speculativedecodingpapers
공식 코드https://github.com/henrypengzou/testnuc
공식 코드TestNUC: Enhancing Test-Time Computing Approaches through Neighboring Unlabeled Data Consistency
https://github.com/henryyantq/optimallm
공식 코드https://github.com/heraclex12/NLP2SPARQL
공식 코드https://github.com/hermansh-id/rcmha
공식 코드RCMHA: Relative Convolutional Multi-Head Attention for Natural Language Modelling
https://github.com/hertin/wavprompt
공식 코드WAVPROMPT: Towards Few-Shot Spoken Language Understanding with Frozen Language Models
https://github.com/hesfahanizadeh/neuralinformationshaping
공식 코드TexShape: Information Theoretic Sentence Embedding for Language Models
https://github.com/hexuandeng/drpruning
공식 코드DRPruning: Efficient Large Language Model Pruning through Distributionally Robust Optimization
https://github.com/heyjoonkim/apa
공식 코드https://github.com/hfutami/distill-bert-for-seq2seq-asr
공식 코드Distilling the Knowledge of BERT for Sequence-to-Sequence ASR
https://github.com/hhexiy/pungen
공식 코드https://github.com/hhw-zhou/tsmmg
공식 코드Instruction Multi-Constraint Molecular Generation Using a Teacher-Student Large Language Model
https://github.com/hiagent2024/hiagent
공식 코드https://github.com/hiaoxui/soft-prompts
공식 코드Learning How to Ask: Querying LMs with Mixtures of Soft Prompts
https://github.com/hieuthi/llamapartialspoof
공식 코드LlamaPartialSpoof: An LLM-Driven Fake Speech Dataset Simulating Disinformation Generation
https://github.com/hijkzzz/pymarl2
공식 코드Choices are More Important than Efforts: LLM Enables Efficient Multi-Agent Exploration
https://github.com/hillary-dawkins/genderswappedstereoset
공식 코드Projective Methods for Mitigating Gender Bias in Pre-trained Language Models
https://github.com/hillhao/PYNQ-project
공식 코드The implementation of a Deep Recurrent Neural Network Language Model on a Xilinx FPGA
https://github.com/hillzhang1999/gec_error_template
공식 코드https://github.com/hillzhang1999/mucgec
공식 코드https://github.com/hiroki11x/losslandscapegeometry
공식 코드No Wrong Turns: The Simple Geometry Of Neural Networks Optimization Paths
https://github.com/hiroto-takatoshi/ProgLMBug
공식 코드An Evalutation of Programming Language Models' performance on Software Defect Detection
https://github.com/historicalink/LatamXIX
공식 코드Historical Ink: 19th Century Latin American Spanish Newspaper Corpus with LLM OCR Correction
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.