https://github.com/dsfsi/puodata
공식 코드PuoBERTa: Training and evaluation of a curated language model for Setswana
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/dsfsi/vukuzenzele-nlp
공식 코드Preparing the Vuk'uzenzele and ZA-gov-multilingual South African multilingual corpora
https://github.com/dslaborg/germeval2023
공식 코드Speaker attribution in German parliamentary debates with QLoRA-adapted large language models
https://github.com/dtch1997/steering-bench
공식 코드Analyzing the Generalization and Reliability of Steering Vectors
https://github.com/du-nlp-lab/lengthreward
공식 코드AALC: Large Language Model Efficient Reasoning via Adaptive Accuracy-Length Control
https://github.com/du-nlp-lab/lmr-bench
공식 코드LMR-BENCH: Evaluating LLM Agent's Ability on Reproducing Language Modeling Research
https://github.com/du-nlp-lab/mlr-copilot
공식 코드MLR-Copilot: Autonomous Machine Learning Research based on Large Language Models Agents
https://github.com/dumitrescustefan/Romanian-Transformers
공식 코드https://github.com/dunzeng/more
공식 코드On Diversified Preferences of Large Language Model Alignment
https://github.com/duongnhatthang/llamagym
공식 코드Improving the Data-efficiency of Reinforcement Learning by Warm-starting with LLM
https://github.com/dut-laowang/emnlp24-PclGPT
공식 코드PclGPT: A Large Language Model for Patronizing and Condescending Language Detection
https://github.com/dutir-bionlp/taiyi-llm
공식 코드Taiyi: A Bilingual Fine-Tuned Large Language Model for Diverse Biomedical Tasks
https://github.com/duydinhlab/dmfagents
공식 코드https://github.com/dvlab-research/LLMGA
공식 코드LLMGA: Multimodal Large Language Model based Generation Assistant
https://github.com/dvlab-research/LSDBench
공식 코드Does Your Vision-Language Model Get Lost in the Long Video Sampling Dilemma?
https://github.com/dvlab-research/diaggsm8k
공식 코드MR-GSM8K: A Meta-Reasoning Benchmark for Large Language Model Evaluation
https://github.com/dvlab-research/lisa
공식 코드https://github.com/dvlab-research/mr-gsm8k
공식 코드MR-GSM8K: A Meta-Reasoning Benchmark for Large Language Model Evaluation
https://github.com/dvlab-research/tagclip
공식 코드TagCLIP: Improving Discrimination Ability of Open-Vocabulary Semantic Segmentation
https://github.com/dvruette/gidd
공식 코드https://github.com/dwlmt/Story-Untangling
공식 코드Modelling Suspense in Short Stories as Uncertainty Reduction over Neural Representation
https://github.com/dwlmt/story-fragments
공식 코드Memory and Knowledge Augmented Language Models for Inferring Salience in Long-Form Stories
https://github.com/dxlong2000/multi-expert-prompting
공식 코드Multi-expert Prompting Improves Reliability, Safety, and Usefulness of Large Language Models
https://github.com/dyabel/anytool
공식 코드AnyTool: Self-Reflective, Hierarchical Agents for Large-Scale API Calls
https://github.com/dyabel/detpro
공식 코드Learning to Prompt for Open-Vocabulary Object Detection with Vision-Language Model
https://github.com/dykang/flownet
공식 코드Linguistic Versus Latent Relations for Modeling Coherent Flow in Paragraphs
https://github.com/dyunis/spectral_dynamics
공식 코드Approaching Deep Learning through the Spectral Dynamics of Weights
https://github.com/dzcgaara/HuBo-VLM
공식 코드HuBo-VLM: Unified Vision-Language Model designed for HUman roBOt interaction tasks
https://github.com/earth-insights/segearth-r1
공식 코드SegEarth-R1: Geospatial Pixel Reasoning via Large Language Model
https://github.com/easonnie/mlp-vil
공식 코드MLP Architectures for Vision-and-Language Modeling: An Empirical Study
https://github.com/easonxiao-888/mindomni
공식 코드MindOmni: Unleashing Reasoning Generation in Vision Language Models with RGPO
https://github.com/eastha0526/beyond-ontology-in-dst
공식 코드Beyond Ontology in Dialogue State Tracking for Goal-Oriented Chatbot
https://github.com/echosechen/spa-vl-rlhf
공식 코드SPA-VL: A Comprehensive Safety Preference Alignment Dataset for Vision Language Model
https://github.com/ecnu-text-computing/imsm
공식 코드https://github.com/ecofri/cxr_llava
공식 코드CXR-LLAVA: a multimodal large language model for interpreting chest X-ray images
https://github.com/ecrows/in-bloom
공식 코드In BLOOM: Creativity and Affinity in Artificial Lyrics and Art
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.