https://github.com/eth-lre/mwptutor
공식 코드AutoTutor meets Large Language Models: A Language Model Tutor with Rich Pedagogy and Guardrails
Papers with Code 아카이브
Language Modeling
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
- 하위 태스크
- 1
- 평가표
- 0
- 보존된 평가 기록
- 0
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/eth-lre/verify-then-generate
공식 코드Stepwise Verification and Remediation of Student Reasoning Errors with Large Language Model Tutors
https://github.com/eth-sri/lamp
공식 코드LAMP: Extracting Text from Gradients with Language Model Priors
https://github.com/eth-sri/language-model-arithmetic
공식 코드https://github.com/eth-sri/watermark-spoofing-detection
공식 코드https://github.com/ethanachi/multilingual-probing-visualization
공식 코드Finding Universal Grammatical Relations in Multilingual BERT
https://github.com/ethanm88/self-taught-lookahead
공식 코드Language Models can Self-Improve at State-Value Estimation for Better Search
https://github.com/ethz-asl/autolabel
공식 코드https://github.com/ethz-spylab/ctf-satml24-data-analysis
공식 코드Dataset and Lessons Learned from the 2024 SaTML LLM Capture-the-Flag Competition
https://github.com/euanong/image-hijacks
공식 코드Image Hijacks: Adversarial Images can Control Generative Models at Runtime
https://github.com/eurecom-asp/spk_anon_nac_lm
공식 코드Speaker anonymization using neural audio codec language models
https://github.com/event-ahu/medical_image_analysis
공식 코드R2GenCSR: Retrieving Context Samples for Large Language Model based X-ray Medical Report Generation
https://github.com/event-ahu/openpar
공식 코드https://github.com/eventdata/conflibert
공식 코드https://github.com/evolvinglmms-lab/longva
공식 코드https://github.com/ewendawi/llamea-bo
공식 코드https://github.com/ewsheng/nlg-bias
공식 코드The Woman Worked as a Babysitter: On Biases in Language Generation
https://github.com/exiled1143/retrieval-augmented-language-model-for-multi-label-knowledge-graph-link-prediction
공식 코드Retrieval-Augmented Language Model for Extreme Multi-Label Knowledge Graph Link Prediction
https://github.com/exlaw/dlma
공식 코드Direct Large Language Model Alignment Through Self-Rewarding Contrastive Prompt Distillation
https://github.com/expertailab/space-ideas
공식 코드SPACE-IDEAS: A Dataset for Salient Information Detection in Space Innovation
https://github.com/expertailab/textual-entailment-for-effective-triple-validation-in-object-prediction
공식 코드Textual Entailment for Effective Triple Validation in Object Prediction
https://github.com/explainableml/flair
공식 코드FLAIR: VLM with Fine-grained Language-informed Image Representations
https://github.com/explainableml/waffleclip
공식 코드Waffling around for Performance: Visual Classification with Random Words and Broad Concepts
https://github.com/explainableml/zeraucap
공식 코드Zero-shot audio captioning with audio-language model guidance and audio context keywords
https://github.com/explainableml/zs-a2t
공식 코드Zero-shot Translation of Attention Patterns in VQA Models to Natural Language
https://github.com/explanare/ood-prediction
공식 코드Internal Causal Mechanisms Robustly Predict Language Model Out-of-Distribution Behaviors
https://github.com/explanare/ravel
공식 코드RAVEL: Evaluating Interpretability Methods on Disentangling Language Model Representations
https://github.com/explanare/verbatim-memorization
공식 코드https://github.com/exploration-lab/scriptworld
공식 코드ScriptWorld: Text Based Environment For Learning Procedural Knowledge
https://github.com/exscientia/abodybuilder3
공식 코드ABodyBuilder3: Improved and scalable antibody structure predictions
https://github.com/ezelikman/STaR
공식 코드https://github.com/ezelikman/justonebyte
공식 코드https://github.com/f3rm/f3rm
공식 코드Distilled Feature Fields Enable Few-Shot Language-Guided Manipulation
https://github.com/fabriziosandri/2ssp
공식 코드https://github.com/facebook/MemNN
공식 코드https://github.com/facebook/SCRNNs
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.