37 citations · 38 across the 7 of their papers we have counts for
8 papers
Faver: Boosting LLM-based RTL Generation with Function Abstracted Verifiable Middleware
Jianan Mu, Mingyu Shi, Yining Wang +5
LLM-based RTL generation is an interesting research direction, as it holds the potential to liberate the least automated stage in the current chip design. However, due to the subst…
Congruence families modulo powers of for -colored generalized Frobenius partitions
Kangyu Wang, Yining Wang
In 2012, Peter Paule and Cristian-Silviu Radu proved an infinite family of Ramanujan type congruences for -colored Frobenius partitions introduced by George Andrews. Rece…
An evaluation of LLMs for generating movie reviews: GPT-4o, Gemini-2.0 and DeepSeek-V3
Brendan Sands, Yining Wang, Chenhao Xu +3
Large language models (LLMs) have been prominent in various tasks, including text generation and summarisation. The applicability of LLMs to the generation of product reviews is ga…
OphthBench: A Comprehensive Benchmark for Evaluating Large Language Models in Chinese Ophthalmology
Chengfeng Zhou, Ji Wang, Juanjuan Qin +3
Large language models (LLMs) have shown significant promise across various medical applications, with ophthalmology being a notable area of focus. Many ophthalmic tasks have shown…
Cracking Factual Knowledge: A Comprehensive Analysis of Degenerate Knowledge Neurons in Large Language Models
Yuheng Chen, Pengfei Cao, Yubo Chen +4
Large language models (LLMs) store extensive factual knowledge, but the underlying mechanisms remain unclear. Previous research suggests that factual knowledge is stored within mul…
Leveraging Auxiliary Domain Parallel Data in Intermediate Task Fine-tuning for Low-resource Translation
Shravan Nayak, Surangika Ranathunga, Sarubi Thillainathan +6
NMT systems trained on Pre-trained Multilingual Sequence-Sequence (PMSS) models flounder when sufficient amounts of parallel data is not available for fine-tuning. This specificall…
Convergence Rates of Latent Topic Models Under Relaxed Identifiability Conditions
Yining Wang
In this paper we study the frequentist convergence rate for the Latent Dirichlet Allocation (Blei et al., 2003) topic models. We show that the maximum likelihood estimator converge…
Sequence Modeling via Segmentations
Chong Wang, Yining Wang, Po-Sen Huang +3
Segmental structure is a common pattern in many types of sequences such as phrases in human languages. In this paper, we present a probabilistic model for sequences via their segme…