https://github.com/facebookresearch/transformer-sequential
공식 코드Addressing Some Limitations of Transformers with Feedback Memory
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/facebookresearch/unibench
공식 코드UniBench: Visual Reasoning Requires Rethinking Vision-Language Beyond Scaling
https://github.com/facebookresearch/unirex
공식 코드UNIREX: A Unified Learning Framework for Language Model Rationale Extraction
https://github.com/facebookresearch/wav2letter/tree/master/recipes/ipl
공식 코드https://github.com/facebookresearch/wmar
공식 코드https://github.com/facebookresearch/zero
공식 코드https://github.com/fadedcosine/dependency-guided-neural-text-generation
공식 코드https://github.com/faisalqarah/saudibert
공식 코드SaudiBERT: A Large Language Model Pretrained on Saudi Dialect Corpora
https://github.com/falcondai/chinese-char-lm
공식 코드https://github.com/fan19-hub/LEMMA
공식 코드https://github.com/fangguo1/mcranker
공식 코드MCRanker: Generating Diverse Criteria On-the-Fly to Improve Point-wise LLM Rankers
https://github.com/fangleai/Implicit-LVM
공식 코드https://github.com/fangleai/Outline2Story
공식 코드Outline to Story: Fine-grained Controllable Story Generation from Cascaded Events
https://github.com/fangshancheng/abinet-pp
공식 코드ABINet++: Autonomous, Bidirectional and Iterative Language Modeling for Scene Text Spotting
https://github.com/fangshiyuu/codrivingllm
공식 코드https://github.com/fanhaoxiang1/litlinker
공식 코드https://github.com/fanyin3639/lid-hallucinationdetection
공식 코드Characterizing Truthfulness in Large Language Model Generations with Local Intrinsic Dimension
https://github.com/fastai/fastai
공식 코드Universal Language Model Fine-tuning for Text Classification
https://github.com/fasterdecoding/rest
공식 코드https://github.com/fastnlp/JointCwsParser
공식 코드A Graph-based Model for Joint Chinese Word Segmentation and Dependency Parsing
https://github.com/fastnlp/cpt
공식 코드CPT: A Pre-Trained Unbalanced Transformer for Both Chinese Language Understanding and Generation
https://github.com/fawazsammani/nlxgpt
공식 코드NLX-GPT: A Model for Natural Language Explanations in Vision and Vision-Language Tasks
https://github.com/fazalmittu/finezip
공식 코드FineZip : Pushing the Limits of Large Language Models for Practical Lossless Text Compression
https://github.com/fcjian/PromptDet
공식 코드PromptDet: Towards Open-vocabulary Detection using Uncurated Images
https://github.com/fdalvi/NeuroX
공식 코드What Is One Grain of Sand in the Desert? Analyzing Individual Neurons in Deep NLP Models
https://github.com/fe1ixxu/BiBERT
공식 코드BERT, mBERT, or BiBERT? A Study on Contextualized Embeddings for Neural Machine Translation
https://github.com/feiliu36/eoh
공식 코드Evolution of Heuristics: Towards Efficient Automatic Algorithm Design Using Large Language Model
https://github.com/feiwang96/Data-Advisor
공식 코드Data Advisor: Dynamic Data Curation for Safety Alignment of Large Language Models
https://github.com/fengchen025/PhenoAssistant
공식 코드PhenoAssistant: A Conversational Multi-Agent AI System for Automated Plant Phenotyping
https://github.com/fenghetan9/llm4seg
공식 코드Pre-Trained LLM is a Semantic-Aware and Generalizable Segmentation Booster
https://github.com/fengranMark/PersonalizedCIR
공식 코드How to Leverage Personal Textual Knowledge for Personalized Conversational Information Retrieval
https://github.com/feyzaakyurek/bbnli
공식 코드On Measuring Social Biases in Prompt-Based Multi-Task Learning
https://github.com/feyzaakyurek/bias-textgen
공식 코드Challenges in Measuring Bias via Open-Ended Language Generation
https://github.com/feyzaakyurek/dune
공식 코드https://github.com/fhr-l/g2a-vreid
공식 코드Cross-Platform Video Person ReID: A New Benchmark Dataset and Adaptation Approach
https://github.com/fhr-l/vsla-clip
공식 코드Cross-Platform Video Person ReID: A New Benchmark Dataset and Adaptation Approach
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.