Seminars

LLMs in Recommender System

Wenwei Ban

June 27, 2025

This talk is about LLMs in RecSys, using LLMs to enhance the performance of recommender system.

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ReLearn: Unlearning via Learning for Large Language Models

Honglin Wang

June 13, 2025

This talk is about ReLearn, a novel unlearning framework that uses positive optimization to balance a model's forgetting, retention, and linguistic capabilities.

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AI Scheming: Frontier Models may Pursue Secret Goals and Lie to You

Xun Liu

May 23, 2025

This talk introduces the concept of AI scheming and discusses two paper under this topic, with the focus on in-context scheming and harmfulness sandbagging for each.

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Rethinking Self-Consistency for Hallucination Detection in LLMs

Sha Liu

May 09, 2025

This talk discusses the self-consistency methods in hallucination detection.

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Towards Robust Safety Alignment of LLMs

Jiajun Tan

April 11, 2025

This talk discusses two paper about issues LLM safety alignment, mainly focusing on vulnerabilities against attacks and approaches to improve the robustness of alignment.

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Rethinking LLM Unlearning: Benchmarks and Datasets

Ruichen Qiu

March 21, 2025

This talk discusses two work about LLM unlearning, each focusing on a specific issue in the field and proposing a new benchmark for better evaluation.

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Reasoning Errors of LLMs

Wanli Yang

March 14, 2025

This talk focses on the self-correction capabilities of LLMs in reasoning, revealing existing LLMs cannot self-correct reasoning yet.

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san zhang

March 07, 2025

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