activity
20232026
most citedWhy Does ChatGPT Fall Short in Providing Truthful Answers?

38 citations · 49 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CL2026

VISPA: Pluralistic Alignment via Automatic Value Selection and Activation

Shenyan Zheng, Jiayou Zhong, Anudeex Shetty +3

As large language models are increasingly used in high-stakes domains, it is essential that their outputs reflect not average} human preference, rather range of varying perspective…

cs.CL2025★ 1 cited

Seed-Coder: Let the Code Model Curate Data for Itself

ByteDance Seed, Yuyu Zhang, Jing Su +24

Code data in large language model (LLM) pretraining is recognized crucial not only for code-related tasks but also for enhancing general intelligence of LLMs. Current open-source L…

cs.AI2025

BFS-Prover: Scalable Best-First Tree Search for LLM-based Automatic Theorem Proving

Ran Xin, Chenguang Xi, Jie Yang +6

Recent advancements in large language models (LLMs) have spurred growing interest in automatic theorem proving using Lean4, where effective tree search methods are crucial for navi…

cs.AI2024★ 2 cited

FullStack Bench: Evaluating LLMs as Full Stack Coders

Bytedance-Seed-Foundation-Code-Team, :, Yao Cheng +53

As the capabilities of code large language models (LLMs) continue to expand, their applications across diverse code intelligence domains are rapidly increasing. However, most exist…

cs.CL2023★ 2 cited

GPT-Fathom: Benchmarking Large Language Models to Decipher the Evolutionary Path towards GPT-4 and Beyond

Shen Zheng, Yuyu Zhang, Yijie Zhu +4

With the rapid advancement of large language models (LLMs), there is a pressing need for a comprehensive evaluation suite to assess their capabilities and limitations. Existing LLM…

cs.CL2023★ 6 cited

Quantifying Association Capabilities of Large Language Models and Its Implications on Privacy Leakage

Hanyin Shao, Jie Huang, Shen Zheng +1

The advancement of large language models (LLMs) brings notable improvements across various applications, while simultaneously raising concerns about potential private data exposure…

cs.CL2023★ 38 cited

Why Does ChatGPT Fall Short in Providing Truthful Answers?

Shen Zheng, Jie Huang, Kevin Chen-Chuan Chang

Recent advancements in large language models, such as ChatGPT, have demonstrated significant potential to impact various aspects of human life. However, ChatGPT still faces challen…