https://github.com/colonylabs/ScribeAgent
공식 코드ScribeAgent: Towards Specialized Web Agents Using Production-Scale Workflow Data
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/colorfulfuture/awesome-trajectory-motion-prediction-papers
공식 코드https://github.com/columbia-nlp-lab/papillon
공식 코드PAPILLON: Privacy Preservation from Internet-based and Local Language Model Ensembles
https://github.com/comind-ml/comind
공식 코드Towards Community-Driven Agents for Machine Learning Engineering
https://github.com/comp-int-hum/orthography-embedding-clustering
공식 코드Examining Language Modeling Assumptions Using an Annotated Literary Dialect Corpus
https://github.com/composable-models/llm_multiagent_debate
공식 코드Improving Factuality and Reasoning in Language Models through Multiagent Debate
https://github.com/computationalmedia/semstyle
공식 코드SemStyle: Learning to Generate Stylised Image Captions using Unaligned Text
https://github.com/concyclics/logquantkv
공식 코드LogQuant: Log-Distributed 2-Bit Quantization of KV Cache with Superior Accuracy Preservation
https://github.com/confirm-solutions/dreamy
공식 코드https://github.com/conghan0808/deop
공식 코드Open-Vocabulary Semantic Segmentation with Decoupled One-Pass Network
https://github.com/congvvc/HyperSeg
공식 코드HyperSeg: Towards Universal Visual Segmentation with Large Language Model
https://github.com/contextualai/gritlm
공식 코드https://github.com/contextualai/lens
공식 코드Towards Language Models That Can See: Computer Vision Through the LENS of Natural Language
https://github.com/controllability/jailbreak-evaluation
공식 코드https://github.com/conveyor-sys/conveyor
공식 코드Conveyor: Efficient Tool-aware LLM Serving with Tool Partial Execution
https://github.com/cooelf/SemBERT
공식 코드https://github.com/cooelf/instancereg
공식 코드Instance Regularization for Discriminative Language Model Pre-training
https://github.com/cookielee77/CLARE
공식 코드https://github.com/cooperative-ia/cooperativegpt
공식 코드https://github.com/cooperleong00/toxificationreversal
공식 코드https://github.com/copenlu/cite-worth
공식 코드CiteWorth: Cite-Worthiness Detection for Improved Scientific Document Understanding
https://github.com/copenlu/context-utilisation-for-rag
공식 코드A Reality Check on Context Utilisation for Retrieval-Augmented Generation
https://github.com/copenlu/fever-adversarial-attacks
공식 코드Generating Label Cohesive and Well-Formed Adversarial Claims
https://github.com/copenlu/llm-gender-bias-polit
공식 코드Quantifying Gender Bias Towards Politicians in Cross-Lingual Language Models
https://github.com/cordercorder/quant_eval
공식 코드A Comprehensive Evaluation of Quantization Strategies for Large Language Models
https://github.com/corl-team/rebased
공식 코드Linear Transformers with Learnable Kernel Functions are Better In-Context Models
https://github.com/cornell-zhang/allo
공식 코드Understanding the Potential of FPGA-Based Spatial Acceleration for Large Language Model Inference
https://github.com/cornell-zhang/dnn-quant-ocs
공식 코드Improving Neural Network Quantization without Retraining using Outlier Channel Splitting
https://github.com/cosmoquester/memoria
공식 코드Memoria: Resolving Fateful Forgetting Problem through Human-Inspired Memory Architecture
https://github.com/coswindywang/HdLM
공식 코드Making Language Model a Hierarchical Classifier and Generator
https://github.com/coteries/cedille-ai
공식 코드https://github.com/cpcp1998/permuteformer
공식 코드PermuteFormer: Efficient Relative Position Encoding for Long Sequences
https://github.com/cpllab/syntactic-generalization
공식 코드A Systematic Assessment of Syntactic Generalization in Neural Language Models
https://github.com/craaaa/exceptions
공식 코드https://github.com/craftjarvis/mcu
공식 코드Towards Evaluating Generalist Agents: An Automated Benchmark in Open World
https://github.com/creapar/crowdscore
공식 코드Crowd Score: A Method for the Evaluation of Jokes using Large Language Model AI Voters as Judges
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.