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Language Modeling
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/edgaere/datetime
공식 코드DATETIME: A new benchmark to measure LLM translation and reasoning capabilities
https://github.com/edisutoyo/satd-augmentation
공식 코드Deep Learning and Data Augmentation for Detecting Self-Admitted Technical Debt
https://github.com/edmundmills/almanacs
공식 코드ALMANACS: A Simulatability Benchmark for Language Model Explainability
https://github.com/edouardelasalles/dar
공식 코드Learning Dynamic Author Representations with Temporal Language Models
https://github.com/eehsan/cstlm
공식 코드Fast, Small and Exact: Infinite-order Language Modelling with Compressed Suffix Trees
https://github.com/efm18/amnlt
공식 코드https://github.com/egeozsoy/MM-OR
공식 코드https://github.com/egilron/afrisenti-semeval-2023
공식 코드https://github.com/ehsanaghaei/SecureBERT
공식 코드SecureBERT: A Domain-Specific Language Model for Cybersecurity
https://github.com/eit-nlp/layer_select_fuse_for_mllm
공식 코드Multi-Layer Visual Feature Fusion in Multimodal LLMs: Methods, Analysis, and Best Practices
https://github.com/ejkim47/induction-gram
공식 코드Interpretable Language Modeling via Induction-head Ngram Models
https://github.com/ejmichaud/quantization-model
공식 코드https://github.com/ekazakos/mtcn
공식 코드With a Little Help from my Temporal Context: Multimodal Egocentric Action Recognition
https://github.com/ekinakyurek/marc
공식 코드The Surprising Effectiveness of Test-Time Training for Few-Shot Learning
https://github.com/elenasofia98/pme
공식 코드https://github.com/eleurent/highway-env
공식 코드https://github.com/eleutherai/gpt-neox
공식 코드https://github.com/eleutherai/nanogpt-mup
공식 코드Sparse maximal update parameterization: A holistic approach to sparse training dynamics
https://github.com/eleutherai/pythia
공식 코드PolyPythias: Stability and Outliers across Fifty Language Model Pre-Training Runs
https://github.com/eleutherai/sae-auto-interp
공식 코드https://github.com/eliacunegatti/neuroal
공식 코드Zeroth-Order Adaptive Neuron Alignment Based Pruning without Re-Training
https://github.com/elianastasio/minigpt-pancreas
공식 코드MiniGPT-Pancreas: Multimodal Large Language Model for Pancreas Cancer Classification and Detection
https://github.com/ellenzhuwang/VK_OOD
공식 코드Differentiable Outlier Detection Enable Robust Deep Multimodal Analysis
https://github.com/eloeszhang/nlmtrack
공식 코드Coordinate-Aware Thermal Infrared Tracking Via Natural Language Modeling
https://github.com/emanjavacas/pie
공식 코드Improving Lemmatization of Non-Standard Languages with Joint Learning
https://github.com/emanjavacas/pie-data
공식 코드Improving Lemmatization of Non-Standard Languages with Joint Learning
https://github.com/emanuele-moscato/tree-language-paper-submission
공식 코드How transformers learn structured data: insights from hierarchical filtering
https://github.com/emengd/multitask-agreement
공식 코드Exploring the Syntactic Abilities of RNNs with Multi-task Learning
https://github.com/eminorhan/simple-cache
공식 코드https://github.com/emocareai/chatpsychiatrist
공식 코드ChatCounselor: A Large Language Models for Mental Health Support
https://github.com/emonosuke/emoasr
공식 코드Non-autoregressive Error Correction for CTC-based ASR with Phone-conditioned Masked LM
https://github.com/emorynlp/gpt-abceval
공식 코드Leveraging Large Language Models for Automated Dialogue Analysis
https://github.com/empathyang/tinyhelen
공식 코드https://github.com/emu1729/gist
공식 코드GIST: Generating Image-Specific Text for Fine-grained Object Classification
https://github.com/emzucas/minidrive
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.