https://github.com/jiangguochaogg/toner
공식 코드ToNER: Type-oriented Named Entity Recognition with Generative Language Model
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ToNER: Type-oriented Named Entity Recognition with Generative Language Model
CellTypeAgent: Trustworthy cell type annotation with Large Language Models
Say What You Mean! Large Language Models Speak Too Positively about Negative Commonsense Knowledge
Converge to the Truth: Factual Error Correction via Iterative Constrained Editing
Item-side Fairness of Large Language Model-based Recommendation System
LLM-enhanced Self-training for Cross-domain Constituency Parsing
Zero-shot Faithfulness Evaluation for Text Summarization with Foundation Language Model
GOFA: A Generative One-For-All Model for Joint Graph Language Modeling
Knowing When to Look: Adaptive Attention via A Visual Sentinel for Image Captioning
Defending against Insertion-based Textual Backdoor Attacks via Attribution
Enhancing Vision-Language Model with Unmasked Token Alignment
Leopard: A Vision Language Model For Text-Rich Multi-Image Tasks
SARLANG-1M: A Benchmark for Vision-Language Modeling in SAR Image Understanding
Language Detoxification with Attribute-Discriminative Latent Space
A Simple Baseline to Semi-Supervised Domain Adaptation for Machine Translation
Prompt Tuning based Adapter for Vision-Language Model Adaption
Acoustic Prompt Tuning: Empowering Large Language Models with Audition Capabilities
WavTokenizer: an Efficient Acoustic Discrete Codec Tokenizer for Audio Language Modeling
PiVe: Prompting with Iterative Verification Improving Graph-based Generative Capability of LLMs
VLIS: Unimodal Language Models Guide Multimodal Language Generation
A Latent Variable Recurrent Neural Network for Discourse Relation Language Models
IDA-VLM: Towards Movie Understanding via ID-Aware Large Vision-Language Model
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.