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관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/yul091/dgslow
공식 코드White-Box Multi-Objective Adversarial Attack on Dialogue Generation
https://github.com/yulu-dada/learned-conf-nmt
공식 코드Learning Confidence for Transformer-based Neural Machine Translation
https://github.com/yumoxu/oreo
공식 코드https://github.com/yunx-z/mover
공식 코드MOVER: Mask, Over-generate and Rank for Hyperbole Generation
https://github.com/yunx-z/situated_gen
공식 코드SituatedGen: Incorporating Geographical and Temporal Contexts into Generative Commonsense Reasoning
https://github.com/yunzhusong/AAAI20-PORLHG
공식 코드Attractive or Faithful? Popularity-Reinforced Learning for Inspired Headline Generation
https://github.com/yunzhusong/NAACL2022-REFLECT
공식 코드Improving Multi-Document Summarization through Referenced Flexible Extraction with Credit-Awareness
https://github.com/yuqi92/3-level-htn-mimic
공식 코드https://github.com/yuri-bizzoni/Metaphor-Paraphrase
공식 코드The Effect of Context on Metaphor Paraphrase Aptness Judgments
https://github.com/yurui12138/tri-attention
공식 코드Tri-Attention: Explicit Context-Aware Attention Mechanism for Natural Language Processing
https://github.com/yutongwang1216/docmtagent
공식 코드DelTA: An Online Document-Level Translation Agent Based on Multi-Level Memory
https://github.com/yuwchen/baspro
공식 코드BASPRO: a balanced script producer for speech corpus collection based on the genetic algorithm
https://github.com/yuxiaw/factcheck-gpt
공식 코드Factcheck-Bench: Fine-Grained Evaluation Benchmark for Automatic Fact-checkers
https://github.com/yuxiaw/usts
공식 코드https://github.com/yuxingch/Implicature-Strength-Some
공식 코드Harnessing the linguistic signal to predict scalar inferences
https://github.com/yuyouyu32/beyonddialogue
공식 코드BEYOND DIALOGUE: A Profile-Dialogue Alignment Framework Towards General Role-Playing Language Model
https://github.com/yxchng/mask-grounding
공식 코드https://github.com/yxuansu/NAG-BERT
공식 코드Non-Autoregressive Text Generation with Pre-trained Language Models
https://github.com/yxuansu/plangen
공식 코드Plan-then-Generate: Controlled Data-to-Text Generation via Planning
https://github.com/yyaghoobzadeh/name_typing
공식 코드Evaluating Word Embeddings in Multi-label Classification Using Fine-grained Name Typing
https://github.com/yyjmjc/compositional-temporal-grounding
공식 코드Compositional Temporal Grounding with Structured Variational Cross-Graph Correspondence Learning
https://github.com/yym6472/ConSERT
공식 코드ConSERT: A Contrastive Framework for Self-Supervised Sentence Representation Transfer
https://github.com/yytzsy/GTP
공식 코드https://github.com/yytzsy/SCDM
공식 코드Semantic Conditioned Dynamic Modulation for Temporal Sentence Grounding in Videos
https://github.com/yytzsy/smcg
공식 코드https://github.com/yytzsy/syntax-customized-video-captioning
공식 코드Syntax Customized Video Captioning by Imitating Exemplar Sentences
https://github.com/yyuncong/tempclr
공식 코드TempCLR: Temporal Alignment Representation with Contrastive Learning
https://github.com/yzhangchuck/sentinel
공식 코드Sentinel: Decoding Context Utilization via Attention Probing for Efficient LLM Context Compression
https://github.com/yzhangcs/ctc-copy
공식 코드Non-autoregressive Text Editing with Copy-aware Latent Alignments
https://github.com/zanchangtong/csr4mbart
공식 코드https://github.com/zanchangtong/unions
공식 코드Unlikelihood Tuning on Negative Samples Amazingly Improves Zero-Shot Translation
https://github.com/zanyarz/NeuralTwinsTalk
공식 코드https://github.com/zanyarz/zodiac
공식 코드https://github.com/zbambergerNLP/depth
공식 코드DEPTH: Discourse Education through Pre-Training Hierarchically
https://github.com/zbwpro/pretcotandke
공식 코드Simple Techniques for Enhancing Sentence Embeddings in Generative Language Models
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.