https://github.com/hitachi-nlp/larch
공식 코드LARCH: Large Language Model-based Automatic Readme Creation with Heuristics
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/hitachi-nlp/mlm-probe-acl2023
공식 코드How does the task complexity of masked pretraining objectives affect downstream performance?
https://github.com/hitsz-tmg/ext-sub
공식 코드https://github.com/hitsz-tmg/gemel
공식 코드https://github.com/hitsz-tmg/multimodal-in-context-tuning
공식 코드A Multimodal In-Context Tuning Approach for E-Commerce Product Description Generation
https://github.com/hitz-zentroa/cn-eval
공식 코드A LLM-Based Ranking Method for the Evaluation of Automatic Counter-Narrative Generation
https://github.com/hitz-zentroa/gollie
공식 코드GoLLIE: Annotation Guidelines improve Zero-Shot Information-Extraction
https://github.com/hitz-zentroa/latxa
공식 코드Latxa: An Open Language Model and Evaluation Suite for Basque
https://github.com/hitz-zentroa/whisper-lm
공식 코드Whisper-LM: Improving ASR Models with Language Models for Low-Resource Languages
https://github.com/hiyouga/llama-factory
공식 코드Autonomous Data Selection with Zero-shot Generative Classifiers for Mathematical Texts
https://github.com/hj-ok/audiobert
공식 코드https://github.com/hkuds/higpt
공식 코드https://github.com/hkuds/opengraph
공식 코드https://github.com/hkunlp/batch-prompting
공식 코드Batch Prompting: Efficient Inference with Large Language Model APIs
https://github.com/hkunlp/diffullama
공식 코드Scaling Diffusion Language Models via Adaptation from Autoregressive Models
https://github.com/hkunlp/diffusion-of-thoughts
공식 코드Diffusion of Thoughts: Chain-of-Thought Reasoning in Diffusion Language Models
https://github.com/hkust-knowcomp/alpha-pace
공식 코드Self-Consistent Narrative Prompts on Abductive Natural Language Inference
https://github.com/hkust-knowcomp/co2lm
공식 코드CoCoLM: COmplex COmmonsense Enhanced Language Model with Discourse Relations
https://github.com/hkust-knowcomp/eventground
공식 코드EventGround: Narrative Reasoning by Grounding to Eventuality-centric Knowledge Graphs
https://github.com/hkust-knowcomp/geia
공식 코드https://github.com/hkust-knowcomp/persona_leakage_and_defense_in_gpt-2
공식 코드https://github.com/hkust-knowcomp/revisit-nlu-linguistic-knowledge
공식 코드An Empirical Revisiting of Linguistic Knowledge Fusion in Language Understanding Tasks
https://github.com/hkust-knowcomp/wddc
공식 코드Weakly Supervised Text Classification using Supervision Signals from a Language Model
https://github.com/hkust-nlp/llm-compression-intelligence
공식 코드https://github.com/hkust-nlp/pem_composition
공식 코드Composing Parameter-Efficient Modules with Arithmetic Operations
https://github.com/hkust-zhiyao/rtllm
공식 코드RTLLM: An Open-Source Benchmark for Design RTL Generation with Large Language Model
https://github.com/hliulab/tcrlm
공식 코드https://github.com/hlt-mt/fbk-fairseq
공식 코드https://github.com/hlt-nlp/promptrank
공식 코드https://github.com/hltchkust/long-biomedical-model
공식 코드How Long Is Enough? Exploring the Optimal Intervals of Long-Range Clinical Note Language Modeling
https://github.com/hltchkust/univar
공식 코드High-Dimension Human Value Representation in Large Language Models
https://github.com/hltcoe/colbert-x
공식 코드https://github.com/hltcoe/rank-k
공식 코드https://github.com/hmchuong/CoLLM
공식 코드https://github.com/hmoraldo/markovTextStego
공식 코드https://github.com/hmt2014/aspectquad
공식 코드Improving Aspect Sentiment Quad Prediction via Template-Order Data Augmentation
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.