London, UK

Yixuan Su

Expert
@yxuansu

Senior Research Scientist, Modelling Lead on Agentic Reasoning@Cohere. Previously PhD at Cambridge

PandaGPT. [TLLM'23] PandaGPT: One Model To Instruction-Follow Them All

863

SimCTG. [NeurIPS'22 Spotlight] A Contrastive Framework for Neural Text Generation

478

OpenAlpaca. OpenAlpaca: A Fully Open-Source Instruction-Following Model Based On OpenLLaMA

304

MAGIC. Language Models Can See: Plugging Visual Controls in Text Generation

261

Contrastive_Search_Is_What_You_Need. [TMLR'23] Contrastive Search Is What You Need For Neural Text Generation

122

TaCL. [NAACL'22] TaCL: Improving BERT Pre-training with Token-aware Contrastive Learning

94

PlanGen. [EMNLP'21] Plan-then-Generate: Controlled Data-to-Text Generation via Planning

76

NAG-BERT. [EACL'21] Non-Autoregressive with Pretrained Language Model

60

Chinese-TaCL-BERT-NER-CWS. 基于中文TaCL-BERT的中文命名实体识别及中文分词

32

Contrastive_Search_versus_Contrastive_Decoding. An Empirical Study On Contrastive Search And Contrastive Decoding For Open-ended Text Generation

27

Few-Shot-Table-to-Text-Generation. [EMNLP'21] Few-Shot Table-to-Text Generation with Prototype Memory

22

HCL. [ACL'21] Dialogue Response Selection with Hierarchical Curriculum Learning

21

Awesome_Diffusions.

17

Paper_List_of_LLMs_as_Agent_and_Tool_Use.

6

yxuansu.github.io. My personal webpage

4

PyTorch-Beam-Search-Decoding. PyTorch implementation of beam search decoding for seq2seq models

2

Contrastive-Learning-NLP-Papers. Paper List for Contrastive Learning for Natural Language Processing

2

ceval. Official github repo for C-Eval, a Chinese evaluation suite for foundation models

1

blog. Public repo for HF blog posts

1

open_llama.

1

BERT-CH-NER. 基于BERT的中文命名实体识别

1

cambridge_thesis. A LaTeX document class that conforms to the Computer Laboratory's PhD thesis formatting guidelines.

1

hello-world. first repository

1

cite. Implementation for our paper "Conditional Image-Text Embedding Networks"

1

Awesome-LLM. Awesome-LLM: a curated list of Large Language Model

1

citation-file-format. The Citation File Format lets you provide citation metadata for software or datasets in plaintext files that are easy to read by both humans and machines.

1
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