27 citations · 58 across the 10 of their papers we have counts for
10 papers
AutoScientist-Quant: Self-Evolving Coding Agents for Automatic Research in Quantitative Investment
Zongqian Li, Yaoyiran Li, Yaohui Guo +3
Large language model agents can discover alphas, yet current methods have three weaknesses. The search cannot adapt during the run, automation usually ends at alpha generation whil…
Unleashing the power of text for credit default prediction: Comparing human-written and generative AI-refined texts
Zongxiao Wu, Yizhe Dong, Yaoyiran Li +1
This study explores the integration of a representative large language model, ChatGPT, into lending decision-making with a focus on credit default prediction. Specifically, we use…
CALRec: Contrastive Alignment of Generative LLMs for Sequential Recommendation
Yaoyiran Li, Xiang Zhai, Moustafa Alzantot +4
Traditional recommender systems such as matrix factorization methods have primarily focused on learning a shared dense embedding space to represent both items and user preferences.…
Self-Augmented In-Context Learning for Unsupervised Word Translation
Yaoyiran Li, Anna Korhonen, Ivan Vulić
Recent work has shown that, while large language models (LLMs) demonstrate strong word translation or bilingual lexicon induction (BLI) capabilities in few-shot setups, they still…
On Bilingual Lexicon Induction with Large Language Models
Yaoyiran Li, Anna Korhonen, Ivan Vulić
Bilingual Lexicon Induction (BLI) is a core task in multilingual NLP that still, to a large extent, relies on calculating cross-lingual word representations. Inspired by the global…
Translation-Enhanced Multilingual Text-to-Image Generation
Yaoyiran Li, Ching-Yun Chang, Stephen Rawls +2
Research on text-to-image generation (TTI) still predominantly focuses on the English language due to the lack of annotated image-caption data in other languages; in the long run,…
Improving Bilingual Lexicon Induction with Cross-Encoder Reranking
Yaoyiran Li, Fangyu Liu, Ivan Vulić +1
Bilingual lexicon induction (BLI) with limited bilingual supervision is a crucial yet challenging task in multilingual NLP. Current state-of-the-art BLI methods rely on the inducti…
Improving Word Translation via Two-Stage Contrastive Learning
Yaoyiran Li, Fangyu Liu, Nigel Collier +2
Word translation or bilingual lexicon induction (BLI) is a key cross-lingual task, aiming to bridge the lexical gap between different languages. In this work, we propose a robust a…
Emergent Communication Pretraining for Few-Shot Machine Translation
Yaoyiran Li, Edoardo M. Ponti, Ivan Vulić +1
While state-of-the-art models that rely upon massively multilingual pretrained encoders achieve sample efficiency in downstream applications, they still require abundant amounts of…
Two-Headed Monster And Crossed Co-Attention Networks
Yaoyiran Li, Jing Jiang
This paper presents some preliminary investigations of a new co-attention mechanism in neural transduction models. We propose a paradigm, termed Two-Headed Monster (THM), which con…