Language Modeling
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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/zhenwang9102/coherence-boosting
공식 코드Coherence boosting: When your pretrained language model is not paying enough attention
https://github.com/zhenxianglance/medagent-cdr-agent
공식 코드https://github.com/zhenxiong-dl/icassp2025-rcac
공식 코드https://github.com/zhenye234/xcodec
공식 코드Codec Does Matter: Exploring the Semantic Shortcoming of Codec for Audio Language Model
https://github.com/zhi-xuan-chen/reg2rg
공식 코드Large Language Model with Region-guided Referring and Grounding for CT Report Generation
https://github.com/zhichaoxu-shufe/beyond-perplexity-compression-safety-eval
공식 코드Beyond Perplexity: Multi-dimensional Safety Evaluation of LLM Compression
https://github.com/zhichaoxu-shufe/constrained-qfs
공식 코드A Lightweight Constrained Generation Alternative for Query-focused Summarization
https://github.com/zhijie-group/unicms
공식 코드UniCMs: A Unified Consistency Model For Efficient Multimodal Generation and Understanding
https://github.com/zhilin123/personal_attributes
공식 코드https://github.com/zhilingluo/theorem_prover
공식 코드https://github.com/zhilingyan/gpt4v-medical-report
공식 코드Multimodal ChatGPT for Medical Applications: an Experimental Study of GPT-4V
https://github.com/zhiningliu1998/selfelicit
공식 코드SelfElicit: Your Language Model Secretly Knows Where is the Relevant Evidence
https://github.com/zhiwenyou103/SciPrompt
공식 코드SciPrompt: Knowledge-augmented Prompting for Fine-grained Categorization of Scientific Topics
https://github.com/zhixuan-lin/forgetting-transformer
공식 코드Forgetting Transformer: Softmax Attention with a Forget Gate
https://github.com/zhiyuan-zeng/evaltree
공식 코드EvalTree: Profiling Language Model Weaknesses via Hierarchical Capability Trees
https://github.com/zhiyuanhubj/ugro-cimk23
공식 코드https://github.com/zhjohnchan/bert-clip-synesthesia
공식 코드On the Difference of BERT-style and CLIP-style Text Encoders
https://github.com/zhouj8553/Web_to_SFT
공식 코드https://github.com/zhoukanglei/cofinal_aqa
공식 코드CoFInAl: Enhancing Action Quality Assessment with Coarse-to-Fine Instruction Alignment
https://github.com/zhouyuxuanyx/multimax
공식 코드https://github.com/zhpinkman/cbr
공식 코드Case-Based Reasoning with Language Models for Classification of Logical Fallacies
https://github.com/zhrli324/argus
공식 코드Goal-Aware Identification and Rectification of Misinformation in Multi-Agent Systems
https://github.com/zhrli324/corba
공식 코드CORBA: Contagious Recursive Blocking Attacks on Multi-Agent Systems Based on Large Language Models
https://github.com/zhuchen03/gradinit
공식 코드GradInit: Learning to Initialize Neural Networks for Stable and Efficient Training
https://github.com/zhudotexe/kani
공식 코드Kani: A Lightweight and Highly Hackable Framework for Building Language Model Applications
https://github.com/zhuemann/contextualsegmentation
공식 코드ConTEXTual Net: A Multimodal Vision-Language Model for Segmentation of Pneumothorax
https://github.com/zhufq00/ddis-prediction
공식 코드Learning to Describe for Predicting Zero-shot Drug-Drug Interactions
https://github.com/zhufq00/mcnc
공식 코드A Generative Approach for Script Event Prediction via Contrastive Fine-tuning
https://github.com/zhuole1025/LyricWhiz
공식 코드LyricWhiz: Robust Multilingual Zero-shot Lyrics Transcription by Whispering to ChatGPT
https://github.com/zhuqianglu/b-vllm
공식 코드B-VLLM: A Vision Large Language Model with Balanced Spatio-Temporal Tokens
https://github.com/zhuyiche/llava-phi
공식 코드LLaVA-Phi: Efficient Multi-Modal Assistant with Small Language Model
https://github.com/zhuyunqi96/ngramObj
공식 코드Differentiable N-gram Objective on Abstractive Summarization
https://github.com/zhw12/BERTRL
공식 코드https://github.com/zhziszz/weak-to-strong-search
공식 코드Weak-to-Strong Search: Align Large Language Models via Searching over Small Language Models
https://github.com/ziansu/codeart
공식 코드CodeArt: Better Code Models by Attention Regularization When Symbols Are Lacking
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.