Language Modeling
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/jacksonwuxs/noppa
공식 코드NoPPA: Non-Parametric Pairwise Attention Random Walk Model for Sentence Representation
https://github.com/jacksonwuxs/promptrec
공식 코드Could Small Language Models Serve as Recommenders? Towards Data-centric Cold-start Recommendations
https://github.com/jacobfa/fft
공식 코드SPECTRE: An FFT-Based Efficient Drop-In Replacement to Self-Attention for Long Contexts
https://github.com/jacobvsdanniel/cross-ner
공식 코드Why Attention? Analyze BiLSTM Deficiency and Its Remedies in the Case of NER
https://github.com/jacobvsdanniel/cross_ner
공식 코드Why Attention? Analyze BiLSTM Deficiency and Its Remedies in the Case of NER
https://github.com/jacobyhsi/InterpreTabNet
공식 코드InterpreTabNet: Distilling Predictive Signals from Tabular Data by Salient Feature Interpretation
https://github.com/jadeleiyu/lm_hallucination_mechanisms
공식 코드Mechanistic Understanding and Mitigation of Language Model Non-Factual Hallucinations
https://github.com/jadeleiyu/sworme
공식 코드https://github.com/jaeseokbyun/grit-vlp
공식 코드GRIT-VLP: Grouped Mini-batch Sampling for Efficient Vision and Language Pre-training
https://github.com/jaeyeonkim99/enclap
공식 코드EnCLAP: Combining Neural Audio Codec and Audio-Text Joint Embedding for Automated Audio Captioning
https://github.com/jaidoshi/knowledge-erasure
공식 코드Does Unlearning Truly Unlearn? A Black Box Evaluation of LLM Unlearning Methods
https://github.com/jaiprakash1824/vlm_adv_attack
공식 코드https://github.com/jakespringer/echo-embeddings
공식 코드https://github.com/jakpra/l2-prepositions
공식 코드Reanalyzing L2 Preposition Learning with Bayesian Mixed Effects and a Pretrained Language Model
https://github.com/jakpra/linguisticstructurelm
공식 코드Linguistic Frameworks Go Toe-to-Toe at Neuro-Symbolic Language Modeling
https://github.com/jakpra/sufficiencylowerbounds
공식 코드https://github.com/jam963/semantics-or-spelling
공식 코드Semantics or spelling? Probing contextual word embeddings with orthographic noise
https://github.com/jameslahm/scpnet
공식 코드Exploring Structured Semantic Prior for Multi Label Recognition with Incomplete Labels
https://github.com/jamespark3922/localized-skd
공식 코드Localized Symbolic Knowledge Distillation for Visual Commonsense Models
https://github.com/jamespark3922/lskd
공식 코드Localized Symbolic Knowledge Distillation for Visual Commonsense Models
https://github.com/janphilippfranken/sami
공식 코드https://github.com/jarbus/jevo.jl
공식 코드Low Rank Factorizations are Indirect Encodings for Deep Neuroevolution
https://github.com/jarcaandrei/tiacbm
공식 코드Task-Informed Anti-Curriculum by Masking Improves Downstream Performance on Text
https://github.com/jarfo/joint
공식 코드Joint Source-Target Self Attention with Locality Constraints
https://github.com/jasonppy/fast-vgs-family
공식 코드https://github.com/jasonppy/syllable-discovery
공식 코드https://github.com/jasonppy/voicecraft
공식 코드VoiceCraft: Zero-Shot Speech Editing and Text-to-Speech in the Wild
https://github.com/jasonppy/voicestar
공식 코드VoiceStar: Robust Zero-Shot Autoregressive TTS with Duration Control and Extrapolation
https://github.com/jasonrute/lean-proof-recording-public
공식 코드Proof Artifact Co-training for Theorem Proving with Language Models
https://github.com/jasonrute/lean_proof_recording
공식 코드Proof Artifact Co-training for Theorem Proving with Language Models
https://github.com/jasonwu0731/ToD-BERT
공식 코드TOD-BERT: Pre-trained Natural Language Understanding for Task-Oriented Dialogue
https://github.com/jasonyux/gdpzero
공식 코드Prompt-Based Monte-Carlo Tree Search for Goal-Oriented Dialogue Policy Planning
https://github.com/jasonyux/krls
공식 코드https://github.com/jasonyzhang/phd
공식 코드https://github.com/jaydeepborkar/Assisted-Memorization
공식 코드Privacy Ripple Effects from Adding or Removing Personal Information in Language Model Training
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.