Seminar
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The presentation materials for the seminar can be found here.Β
Home > Activity > Seminar
The presentation materials for the seminar can be found here.Β
ARM: Adaptive Reasoning ModelΒ
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ποΈ 2026λ 05μ 04μΌ
β° 14:00 ~ 15:30
π FTC 522νΈ
Through a Compressed Lens: Investigating The Impact of Quantization on Factual Knowledge RecallΒ
λ°νμ: μ΄λν
ποΈ 2026λ 05μ 04μΌ
β° 14:00 ~ 15:30
π FTC 522νΈ
Rating Quality of Diverse Time Series Data by Meta-learning from LLM JudgmentΒ
λ°νμ: μ΄μ¬μ
ποΈ 2026λ 04μ 27μΌ
β° 14:00 ~ 15:30
π FTC 522νΈ
The Price of Amortized Inference of Sparse AutoencodersΒ
λ°νμ: μ΄μ€μ
ποΈ 2026λ 04μ 27μΌ
β° 14:00 ~ 15:30
π FTC 522νΈ
I^2MoE: Interpretable Multimodal Interaction-aware Mixture-of-ExpertsΒ
λ°νμ: μ νμ
ποΈ 2026λ 04μ 16μΌ
β° 15:30 ~ 17:00
π FTC 520νΈ
MIDI-LLaMA: An Instruction-Following Multimodal LLM for Symbolic Music UnderstandingΒ
λ°νμ: κΉμμΈ
ποΈ 2026λ 04μ 16μΌ
β° 15:30 ~ 17:00
π FTC 520νΈ
FaST: Feature-aware Sampling and Tuning for Personalized Preference Alignment with Limited DataΒ
λ°νμ: μ μ§μ°
ποΈ 2026λ 04μ 06μΌ
β° 16:00 ~ 17:30
π FTC 522νΈ
Adapting LLMs for Personalized Evaluation of Explanations for Recommendations: A Meta-Learning Approach based on MAMLΒ Β
λ°νμ: λ°μ§μΈ
ποΈ 2026λ 04μ 06μΌ
β° 16:00 ~ 17:30
π FTC 522νΈ
Beyond Binary Rewards: Training LMs to Reason About Their UncertaintyΒ
λ°νμ: ν©μ£Όμ
ποΈ 2026λ 03μ 30μΌ
β° 13:30 ~ 15:00
π FTC 522νΈ
FaST: Feature-aware Sampling and Tuning for Personalized Preference Alignment with Limited DataΒ
λ°νμ: μ₯μ’ ν
ποΈ 2026λ 03μ 30μΌ
β° 13:30 ~ 15:00
π FTC 522νΈ
ReasonFlux-PRM: Trajectory-Aware PRMs for Long Chain-of-Thought Reasoning in LLMsΒ
λ°νμ: μλ―Όμ£Ό
ποΈ 2026λ 03μ 23μΌ
β° 14:00 ~ 15:30
π FTC 522νΈ
Donβt Think of the White Bear: Ironic Negation in Transformer Models Under Cognitive LoaΒ
λ°νμ: μ΄λν
ποΈ 2026λ 03μ 23μΌ
β° 14:00 ~ 15:30
π FTC 522νΈ
FaST: Feature-aware Sampling and Tuning for Personalized Preference Alignment with Limited DataΒ
λ°νμ: λ°μ§μΈ
ποΈ 2026λ 03μ 16μΌ
β° 14:00 ~ 15:30
π FTC 522νΈ
2026λ , AIλ μΌλ§λ μννκ°? Uncontrollable Hidden Subgoals in AI
λ°νμ: μ₯μ’ ν
ποΈ 2026λ 03μ 16μΌ
β° 14:00 ~ 15:30
π FTC 522νΈ
Rethinking Channel Dimensions To Isolate Outliers For Low-Bit Weight Quantization Of Large Language ModelsΒ
λ°νμ: μ΄λν
ποΈ 2026λ 03μ 09μΌ
β° 10:30 ~ 12:00
π FTC 522νΈ
FG-Midiformer: A Symbolic Music Understanding Model towards FineGrained Learning of Multi-AttributesΒ
λ°νμ: κΉμμΈ
ποΈ 2026λ 03μ 09μΌ
β° 10:30 ~ 12:00
π FTC 522νΈ
Closed π
2026
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2025
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2024
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2023
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Advanced Seminar
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2022
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2021
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2020
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