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코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/ukplab/on-emergence
공식 코드Are Emergent Abilities in Large Language Models just In-Context Learning?
https://github.com/ukplab/poate-attack
공식 코드Turning Logic Against Itself : Probing Model Defenses Through Contrastive Questions
https://github.com/ukplab/pytorch-bertflow
공식 코드https://github.com/umanlp/ds-tod
공식 코드DS-TOD: Efficient Domain Specialization for Task Oriented Dialog
https://github.com/umanlp/fairargumentativelm
공식 코드Fair and Argumentative Language Modeling for Computational Argumentation
https://github.com/umanlp/socioadapt
공식 코드On the Limitations of Sociodemographic Adaptation with Transformers
https://github.com/umanlp/spkatt-2023
공식 코드Speaker attribution in German parliamentary debates with QLoRA-adapted large language models
https://github.com/umass-ml4ed/prompt_distractor_generation_naacl
공식 코드https://github.com/umass-ml4ed/syllabusqa
공식 코드https://github.com/umass-ml4ed/test_case_generation
공식 코드https://github.com/umass-ml4ed/tiktoc
공식 코드Test Case-Informed Knowledge Tracing for Open-ended Coding Tasks
https://github.com/umd-huang-lab/mementos
공식 코드https://github.com/umd-psycholing/lm-syntactic-generalization
공식 코드Generalizations across filler-gap dependencies in neural language models
https://github.com/umich-sota/selective_attention
공식 코드Selective Attention: Enhancing Transformer through Principled Context Control
https://github.com/uni-medical/gmai-vl
공식 코드https://github.com/unicamp-dl/exaranker
공식 코드https://github.com/unified-language-model-alignment/src
공식 코드ULMA: Unified Language Model Alignment with Human Demonstration and Point-wise Preference
https://github.com/upper9527/gerea
공식 코드GeReA: Question-Aware Prompt Captions for Knowledge-based Visual Question Answering
https://github.com/upstageai/evalverse
공식 코드Evalverse: Unified and Accessible Library for Large Language Model Evaluation
https://github.com/upunaprosk/quantized-lm-confidence
공식 코드When Quantization Affects Confidence of Large Language Models?
https://github.com/uralik/consistency-lm
공식 코드Consistency of a Recurrent Language Model With Respect to Incomplete Decoding
https://github.com/urvashik/knnlm
공식 코드Generalization through Memorization: Nearest Neighbor Language Models
https://github.com/usail-hkust/CoLLMLight
공식 코드CoLLMLight: Cooperative Large Language Model Agents for Network-Wide Traffic Signal Control
https://github.com/usail-hkust/urbankgent
공식 코드UrbanKGent: A Unified Large Language Model Agent Framework for Urban Knowledge Graph Construction
https://github.com/usc-tamagotchi/dh-mlm
공식 코드https://github.com/usccolumbia/bertos
공식 코드Composition based oxidation state prediction of materials using deep learning
https://github.com/usccolumbia/gmtransformer
공식 코드Probabilistic Generative Transformer Language models for Generative Design of Molecules
https://github.com/utnslab/halos
공식 코드https://github.com/utopia-group/typet5
공식 코드https://github.com/uvavision/amc-grounding
공식 코드Improving Visual Grounding by Encouraging Consistent Gradient-based Explanations
https://github.com/uw-bionlp/mimic-cxr_clinical_findings
공식 코드Event-based clinical findings extraction from radiology reports with pre-trained language model
https://github.com/uw-mad-dash/decoding-speculative-decoding
공식 코드https://github.com/valdersoul/bn-vae
공식 코드A Batch Normalized Inference Network Keeps the KL Vanishing Away
https://github.com/valentin012/conspeech
공식 코드https://github.com/valentinhofmann/dagobert
공식 코드DagoBERT: Generating Derivational Morphology with a Pretrained Language Model
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.