Search Results for author: Junzhe Jiang

Found 6 papers, 1 papers with code

LLMs for Relational Reasoning: How Far are We?

no code implementations17 Jan 2024 Zhiming Li, Yushi Cao, Xiufeng Xu, Junzhe Jiang, Xu Liu, Yon Shin Teo, Shang-Wei Lin, Yang Liu

Large language models (LLMs) have revolutionized many areas (e. g. natural language processing, software engineering, etc.)

Common Sense Reasoning Decision Making +3

PST: Improving Quantitative Trading via Program Sketch-based Tuning

no code implementations9 Oct 2023 Zhiming Li, Junzhe Jiang, Yushi Cao, Aixin Cui, Bozhi Wu, Bo Li, Yang Liu, Dongning Sun

Particularly, PST first proposes using a novel symbolic program sketch to embed the abstract human expert knowledge of market trends.

Program Synthesis reinforcement-learning

Reformulating Sequential Recommendation: Learning Dynamic User Interest with Content-enriched Language Modeling

1 code implementation19 Sep 2023 Junzhe Jiang, Shang Qu, Mingyue Cheng, Qi Liu, Zhiding Liu, Hao Zhang, Rujiao Zhang, Kai Zhang, Rui Li, Jiatong Li, Min Gao

Recommender systems are indispensable in the realm of online applications, and sequential recommendation has enjoyed considerable prevalence due to its capacity to encapsulate the dynamic shifts in user interests.

Language Modelling Sequential Recommendation +1

Nested Named Entity Recognition from Medical Texts: An Adaptive Shared Network Architecture with Attentive CRF

no code implementations9 Nov 2022 Junzhe Jiang, Mingyue Cheng, Qi Liu, Zhi Li, Enhong Chen

Recognizing useful named entities plays a vital role in medical information processing, which helps drive the development of medical area research.

Medical Named Entity Recognition named-entity-recognition +3

Unveiling Project-Specific Bias in Neural Code Models

no code implementations19 Jan 2022 Zhiming Li, Yanzhou Li, Tianlin Li, Mengnan Du, Bozhi Wu, Yushi Cao, Junzhe Jiang, Yang Liu

We propose a Cond-Idf measurement to interpret this behavior, which quantifies the relatedness of a token with a label and its project-specificness.

Adversarial Robustness Vulnerability Detection

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