6 papers
FailForge: Distilling Procedural Competence from Persistent Failures into Code Agents
Dongyi Lv, Fushun E, Aichen Cai +8
Rejection sampling fine-tuning (RFT) is widely used to train code agents by generating trajectories on verifiable software engineering tasks, retaining those that pass the tests, a…
Why Users Go There: World Knowledge-Augmented Generative Next POI Recommendation
Qiuyu Ding, Heng-Da Xu, Wei Zhang +4
Generative point-of-interest (POI) recommendation models based on large language models (LLMs) have shown promising results by formulating next POI prediction as a sequence generat…
Reasoning Over Space: Enabling Geographic Reasoning for LLM-Based Generative Next POI Recommendation
Dongyi Lv, Qiuyu Ding, Heng-Da Xu +4
Generative recommendation with large language models (LLMs) reframes prediction as sequence generation, yet existing LLM-based recommenders remain limited in leveraging geographic…
Thinking with Comics: Enhancing Multimodal Reasoning through Structured Visual Storytelling
Andong Chen, Wenxin Zhu, Qiuyu Ding +3
Chain-of-Thought reasoning has driven large language models to extend from thinking with text to thinking with images and videos. However, different modalities still have clear lim…
Cross-Domain Bilingual Lexicon Induction via Pretrained Language Models
Qiuyu Ding, Zhiqiang Cao, Hailong Cao +1
Bilingual Lexicon Induction (BLI) is generally based on common domain data to obtain monolingual word embedding, and by aligning the monolingual word embeddings to obtain the cross…
Enhancing Large Language Models'Machine Translation via Dynamic Focus Anchoring
Qiuyu Ding, Zhiqiang Cao, Hailong Cao +1
Large language models have demonstrated exceptional performance across multiple crosslingual NLP tasks, including machine translation (MT). However, persistent challenges remain in…