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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/ncsoft/idk
공식 코드Visually Dehallucinative Instruction Generation: Know What You Don't Know
https://github.com/neelabhsinha/vlm-selection-tasks-domains-knowledge-type
공식 코드https://github.com/neelsjain/byod
공식 코드Bring Your Own Data! Self-Supervised Evaluation for Large Language Models
https://github.com/neelsjain/neftune
공식 코드https://github.com/neerajas-group/rumors-in-multi-agent
공식 코드Simulating Rumor Spreading in Social Networks using LLM Agents
https://github.com/nehakalibhat/falcon-explain
공식 코드Identifying Interpretable Subspaces in Image Representations
https://github.com/nervjack2/SpeechChatGPTStreaming
공식 코드Building a Taiwanese Mandarin Spoken Language Model: A First Attempt
https://github.com/netease-youdao/cmlm_da
공식 코드https://github.com/nethermanpro/comsl
공식 코드ComSL: A Composite Speech-Language Model for End-to-End Speech-to-Text Translation
https://github.com/networks-learning/counterfactual-llms
공식 코드https://github.com/netx-lab/ayo
공식 코드Teola: Towards End-to-End Optimization of LLM-based Applications
https://github.com/neubig/modlm
공식 코드Generalizing and Hybridizing Count-based and Neural Language Models
https://github.com/neuhai/uxagent
공식 코드UXAgent: An LLM Agent-Based Usability Testing Framework for Web Design
https://github.com/neukg/techgpt-2.0
공식 코드TechGPT-2.0: A large language model project to solve the task of knowledge graph construction
https://github.com/neulab/data-agora
공식 코드https://github.com/neulab/knn-transformers
공식 코드Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval
https://github.com/neulab/retomaton
공식 코드Neuro-Symbolic Language Modeling with Automaton-augmented Retrieval
https://github.com/neuralchecker/analyzing_constrained_llm_through_pdfa_learning
공식 코드https://github.com/neuralmind-ai/visconde
공식 코드https://github.com/neviim96/breakgpt
공식 코드BreakGPT: A Large Language Model with Multi-stage Structure for Financial Breakout Detection
https://github.com/ngescribano/xtn-timexes
공식 코드https://github.com/nguyentthong/MAMA
공식 코드MAMA: Meta-optimized Angular Margin Contrastive Framework for Video-Language Representation Learning
https://github.com/nguyentthong/READ
공식 코드https://github.com/nguyenvulebinh/vietnamese-roberta
공식 코드https://github.com/ngwlh-gl/kbioxlm
공식 코드KBioXLM: A Knowledge-anchored Biomedical Multilingual Pretrained Language Model
https://github.com/nhattlm95/tm_kg_dialogue
공식 코드Enhancing Knowledge Retrieval with Topic Modeling for Knowledge-Grounded Dialogue
https://github.com/nhcha6/classdistributionprediction
공식 코드Predicting Class Distribution Shift for Reliable Domain Adaptive Object Detection
https://github.com/nhhoang96/multicl_slot_induction
공식 코드Slot Induction via Pre-trained Language Model Probing and Multi-level Contrastive Learning
https://github.com/nianlonggu/lmcitegen
공식 코드Controllable Citation Sentence Generation with Language Models
https://github.com/nick7nlp/FastCuRL
공식 코드https://github.com/nickatomlin/lm-selfplay
공식 코드https://github.com/nicofirst1/speaker-adaptation
공식 코드Speaking the Language of Your Listener: Audience-Aware Adaptation via Plug-and-Play Theory of Mind
https://github.com/nicolay-r/semeval2024-task3
공식 코드https://github.com/nicolay-r/thor-ecac
공식 코드https://github.com/nicolvisser/dp-slm
공식 코드Spoken Language Modeling with Duration-Penalized Self-Supervised Units
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.