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Language Modeling
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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/vid-koci/bert-commonsense
공식 코드https://github.com/vida-nyu/satori-assistance
공식 코드Satori: Towards Proactive AR Assistant with Belief-Desire-Intention User Modeling
https://github.com/vidhishanair/factedit
공식 코드https://github.com/vidit09/domaingen
공식 코드CLIP the Gap: A Single Domain Generalization Approach for Object Detection
https://github.com/viethoang1512/pga
공식 코드Enhancing Domain Adaptation through Prompt Gradient Alignment
https://github.com/viking-sudo-rm/formal-language-understanding
공식 코드Entailment Semantics Can Be Extracted from an Ideal Language Model
https://github.com/viking-sudo-rm/industrial-stacknns
공식 코드https://github.com/vinairesearch/phoatis_disfluency
공식 코드From Disfluency Detection to Intent Detection and Slot Filling
https://github.com/vinairesearch/recgpt
공식 코드RecGPT: Generative Pre-training for Text-based Recommendation
https://github.com/vinairesearch/unibridge
공식 코드UniBridge: A Unified Approach to Cross-Lingual Transfer Learning for Low-Resource Languages
https://github.com/vipulgupta1011/calm
공식 코드CALM : A Multi-task Benchmark for Comprehensive Assessment of Language Model Bias
https://github.com/vipulraheja/coedit
공식 코드https://github.com/virajprabhu/lance
공식 코드LANCE: Stress-testing Visual Models by Generating Language-guided Counterfactual Images
https://github.com/virallab/turkishbertweet
공식 코드TurkishBERTweet: Fast and Reliable Large Language Model for Social Media Analysis
https://github.com/vishakhpk/creative-instructions
공식 코드Help me write a poem: Instruction Tuning as a Vehicle for Collaborative Poetry Writing
https://github.com/vishakhpk/mi-unsup-summ
공식 코드Unsupervised Extractive Summarization using Pointwise Mutual Information
https://github.com/vishakhpk/mil-creative-captioning
공식 코드https://github.com/vishalpallagani/fable
공식 코드FABLE: A Novel Data-Flow Analysis Benchmark on Procedural Text for Large Language Model Evaluation
https://github.com/vishwajit-vishnu/memory-efficient-stochastic-methods-for-memory-based-transformers
공식 코드Memory-efficient Stochastic methods for Memory-based Transformers
https://github.com/vision-cair/minigpt-med
공식 코드MiniGPT-Med: Large Language Model as a General Interface for Radiology Diagnosis
https://github.com/visioncortex/vtracer
공식 코드StarVector: Generating Scalable Vector Graphics Code from Images and Text
https://github.com/visionxlab/lrs-vqa
공식 코드https://github.com/viswavi/few-shot-clustering
공식 코드https://github.com/vita-group/chaincoder
공식 코드Outline, Then Details: Syntactically Guided Coarse-To-Fine Code Generation
https://github.com/vita-group/dp-opt
공식 코드DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer
https://github.com/vita-group/ms-poe
공식 코드https://github.com/vita-group/tape
공식 코드Rethinking Addressing in Language Models via Contexualized Equivariant Positional Encoding
https://github.com/vita-mllm/long-vita
공식 코드Long-VITA: Scaling Large Multi-modal Models to 1 Million Tokens with Leading Short-Context Accuray
https://github.com/vita-mllm/vita-audio
공식 코드VITA-Audio: Fast Interleaved Cross-Modal Token Generation for Efficient Large Speech-Language Model
https://github.com/vjosapreniqi/MoralBERT
공식 코드MoralBERT: A Fine-Tuned Language Model for Capturing Moral Values in Social Discussions
https://github.com/vk0812/third-party-attacks-on-llms
공식 코드https://github.com/vklabmipt/implicit-unlikelihood-training
공식 코드Implicit Unlikelihood Training: Improving Neural Text Generation with Reinforcement Learning
https://github.com/vlgiitr/Are-VLMs-Really-Blind
공식 코드https://github.com/vlkeb/vlkeb
공식 코드VLKEB: A Large Vision-Language Model Knowledge Editing Benchmark
https://github.com/vllm-project/vllm
공식 코드AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.