12 citations · 26 across the 10 of their papers we have counts for
11 papers
Calibration, Not Answer Selection: Distilling Internal Confidence in Reasoning Models
Yadong Xi, Rongsheng Zhang, Tangjie Lv +2
Reinforcement learning with binary correctness rewards trains correctness, not calibrated confidence. The confidence that reasoning models verbalize is systematically overconfident…
HoLLMwood: Unleashing the Creativity of Large Language Models in Screenwriting via Role Playing
Jing Chen, Xinyu Zhu, Cheng Yang +8
Generative AI has demonstrated unprecedented creativity in the field of computer vision, yet such phenomena have not been observed in natural language processing. In particular, la…
PromptNER: Prompt Locating and Typing for Named Entity Recognition
Yongliang Shen, Zeqi Tan, Shuhui Wu +5
Prompt learning is a new paradigm for utilizing pre-trained language models and has achieved great success in many tasks. To adopt prompt learning in the NER task, two kinds of met…
Probing Simile Knowledge from Pre-trained Language Models
Weijie Chen, Yongzhu Chang, Rongsheng Zhang +6
Simile interpretation (SI) and simile generation (SG) are challenging tasks for NLP because models require adequate world knowledge to produce predictions. Previous works have empl…
DecBERT: Enhancing the Language Understanding of BERT with Causal Attention Masks
Ziyang Luo, Yadong Xi, Jing Ma +4
Since 2017, the Transformer-based models play critical roles in various downstream Natural Language Processing tasks. However, a common limitation of the attention mechanism utiliz…
I-Tuning: Tuning Frozen Language Models with Image for Lightweight Image Captioning
Ziyang Luo, Zhipeng Hu, Yadong Xi +2
Image Captioning is a traditional vision-and-language task that aims to generate the language description of an image. Recent studies focus on scaling up the model size and the num…
Youling: an AI-Assisted Lyrics Creation System
Rongsheng Zhang, Xiaoxi Mao, Le Li +6
Recently, a variety of neural models have been proposed for lyrics generation. However, most previous work completes the generation process in a single pass with little human inter…
A Frustratingly Simple Approach for End-to-End Image Captioning
Ziyang Luo, Yadong Xi, Rongsheng Zhang +1
Image Captioning is a fundamental task to join vision and language, concerning about cross-modal understanding and text generation. Recent years witness the emerging attention on i…
Taming Repetition in Dialogue Generation
Yadong Xi, Jiashu Pu, Xiaoxi Mao
The wave of pre-training language models has been continuously improving the quality of the machine-generated conversations, however, some of the generated responses still suffer f…
Easy and Efficient Transformer : Scalable Inference Solution For large NLP model
Gongzheng Li, Yadong Xi, Jingzhen Ding +5
Recently, large-scale transformer-based models have been proven to be effective over various tasks across many domains. Nevertheless, applying them in industrial production require…
Dialogue Distillation: Open-Domain Dialogue Augmentation Using Unpaired Data
Rongsheng Zhang, Yinhe Zheng, Jianzhi Shao +3
Recent advances in open-domain dialogue systems rely on the success of neural models that are trained on large-scale data. However, collecting large-scale dialogue data is usually…