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/parallelcodefoundry/ParEval
공식 코드https://github.com/paramansh/propaganda_detection
공식 코드https://github.com/parameterlab/trap
공식 코드TRAP: Targeted Random Adversarial Prompt Honeypot for Black-Box Identification
https://github.com/parap1uie-s/alternate_sg
공식 코드Alternating Synthetic and Real Gradients for Neural Language Modeling
https://github.com/pardissz/translate-with-care
공식 코드https://github.com/pascal20100/factored_output_layer
공식 코드The Z-loss: a shift and scale invariant classification loss belonging to the Spherical Family
https://github.com/pasqualeturin/lamp
공식 코드https://github.com/passing2961/thanos
공식 코드Thanos: Enhancing Conversational Agents with Skill-of-Mind-Infused Large Language Model
https://github.com/pat-jj/KG-FIT
공식 코드KG-FIT: Knowledge Graph Fine-Tuning Upon Open-World Knowledge
https://github.com/pat-jj/Retrieval-And-Structure
공식 코드RAS: Retrieval-And-Structuring for Knowledge-Intensive LLM Generation
https://github.com/pat-jj/ras
공식 코드RAS: Retrieval-And-Structuring for Knowledge-Intensive LLM Generation
https://github.com/pat-jj/tagreal
공식 코드Text-Augmented Open Knowledge Graph Completion via Pre-Trained Language Models
https://github.com/paul-rottger/safetyprompts-paper
공식 코드https://github.com/paul-sheridan/paper-heaps-law-llm
공식 코드https://github.com/paulaonta/blind-valm
공식 코드Improving the Efficiency of Visually Augmented Language Models
https://github.com/pauldrm/targeted_intervention
공식 코드HSI: Head-Specific Intervention Can Induce Misaligned AI Coordination in Large Language Models
https://github.com/paxnea/genAI-rngt
공식 코드A Comparison of Large Language Model and Human Performance on Random Number Generation Tasks
https://github.com/pbihao/slm
공식 코드https://github.com/pdx97/sbi-rag_neurips2024
공식 코드https://github.com/pedrocurvo/thetraitors
공식 코드The Traitors: Deception and Trust in Multi-Agent Language Model Simulations
https://github.com/peijiez/intentrec4maps
공식 코드Intention Recognition in Real-Time Interactive Navigation Maps
https://github.com/peluz/persona-behavior
공식 코드Helpful assistant or fruitful facilitator? Investigating how personas affect language model behavior
https://github.com/penfever/wildchat-50m
공식 코드WILDCHAT-50M: A Deep Dive Into the Role of Synthetic Data in Post-Training
https://github.com/pengfeiliheu/m2i2
공식 코드Self-supervised vision-language pretraining for Medical visual question answering
https://github.com/pengfeiliheu/mumc
공식 코드https://github.com/pengshuai-rin/multimath
공식 코드MultiMath: Bridging Visual and Mathematical Reasoning for Large Language Models
https://github.com/pengsl-lab/esm-nbr
공식 코드https://github.com/pengxiao-song/lawgpt
공식 코드LawGPT: A Chinese Legal Knowledge-Enhanced Large Language Model
https://github.com/pepsi2222/cela
공식 코드CELA: Cost-Efficient Language Model Alignment for CTR Prediction
https://github.com/personnoname/fgeodrl
공식 코드FGeo-DRL: Deductive Reasoning for Geometric Problems through Deep Reinforcement Learning
https://github.com/peterfengyx/kest
공식 코드KEST: Kernel Distance Based Efficient Self-Training for Improving Controllable Text Generation
https://github.com/petergriffinjin/metag
공식 코드Learning Multiplex Representations on Text-Attributed Graphs with One Language Model Encoder
https://github.com/peteriz/academic-budget-bert
공식 코드https://github.com/peterwestai2/symbolic-knowledge-distillation
공식 코드Symbolic Knowledge Distillation: from General Language Models to Commonsense Models
https://github.com/pfZhu/duma_code
공식 코드출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.