Research Papers

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Can AI Be Tricked? Exploring Adversarial Attacks on Language Models

Zhenning Yang|Ryan Krawec|Liang-Yuan Wu

Can AI Learn to Tell the Truth? New Research Tackles LLM “Hallucinations”

Farima Fatahi Bayat|Xin Liu|H. V. Jagadish|Lu Wang

Can AI Tutors Climb the Feedback Ladder? Helping Students Learn to Code

Hasnain Heickal|Andrew Lan

Making LLMs More Robust: Taming Adversarial Attacks

Bhuvanesh Verma|Lisa Raithel

Can AI Really Do Grade School Math? A New Test Says…

Hugh Zhang|Jeff Da|Dean Lee|Vaughn Robinson|Catherine Wu|Will Song|Tiffany Zhao|Pranav Raja|Charlotte Zhuang|Dylan Slack|Qin Lyu|Sean Hendryx|Russell Kaplan|Michele Lunati|Summer Yue

Can AI Recommenders Learn from Large Language Models?

Yu Cui|Feng Liu|Pengbo Wang|Bohao Wang|Heng Tang|Yi Wan|Jun Wang|Jiawei Chen

Unlocking AI Potential: AdaMoLE's Adaptive Expert Selection

Zefang Liu|Jiahua Luo

Unlocking Protocol Secrets: How AI Infers State Machines from Code

Haiyang Wei|Zhengjie Du|Haohui Huang|Yue Liu|Guang Cheng|Linzhang Wang|Bing Mao

Unlocking AI Reasoning: How Self-Refinement Boosts Language Models

Leonardo Ranaldi|Andrè Freitas

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