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20102026
most citedAutomating Data Science: Prospects and Challenges

45 citations · 134 across the 21 of their papers we have counts for

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5 papers · 1 filter

cs.CL2026

LLM Persuasion Is in the Eye of the Evaluation

Kamile Dementaviciute, Julija Vaitonyte, Tijl De Bie

Large language models (LLMs) have already been shown to match or exceed human experts in persuasion. While their persuasive capabilities hold promise for beneficial uses such as ed…

cs.CL2026

Grokipedia vs Wikipedia: An LLM-Based Audit of Political Neutrality along Ideologies

Filippos Vlahos, Guillaume Bied, Tijl De Bie

Online encyclopedias shape political opinion and, through it, democratic discourse. In late 2025, Grokipedia was released, an encyclopedia written entirely by the LLM Grok. One mot…

cs.CL2026

STEP: Career-Path Recommendation via Temporal and Educational Trajectory Modeling

Iman Johary, Guillaume Bied, Alexandru C. Mara +1

Career paths encode decades of skill acquisition, role transitions, and educational investment, and understanding them at scale underpins workforce planning, labor market policy, a…

cs.CL2026

JobHop v2: A Large-Scale Career Trajectory Dataset from Unstructured Resumes

Iman Johary, Guillaume Bied, Alexandru C. Mara +1

Large-scale, richly annotated career trajectory data underpins workforce planning, job recommendation, and labour market analysis, yet publicly available datasets are either small,…

cs.CL2023★ 10 cited

SkillGPT: a RESTful API service for skill extraction and standardization using a Large Language Model

Nan Li, Bo Kang, Tijl De Bie

We present SkillGPT, a tool for skill extraction and standardization (SES) from free-style job descriptions and user profiles with an open-source Large Language Model (LLM) as back…