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Ting-Yun Chang
110 posts
@CharlotteTYC

Ting-Yun Chang

@CharlotteTYC
PhD student @CSatUSC @nlp_usc
terarachang.github.io
Joined August 2021
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  • Pinned
    @CharlotteTYC
    Ting-Yun Chang
    @CharlotteTYC
    Jun 27, 2024
    When Parts Are Greater Than Sums: Individual LLM Components Can Outperform Full Models w/ @_jessethomason_ @robinomial arxiv.org/abs/2406.13131 A new view of ICL by decomposing the output of an LLM into the sum of "components" A new method: don't select prompt; select components!
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  • @CharlotteTYC
    Ting-Yun Chang
    @CharlotteTYC
    Jun 4
    This is the final project of my PhD journey 🎓 I've thought a lot about how to make interp actionable in my previous projects. I believe efficiency follows naturally: when we have a deep understanding of the model, we can figure out where to be frugal w/o hurting model accuracy.
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    @DeqingFu
    Deqing Fu
    @DeqingFu
    Jun 4
    Introducing VaSE: Value-Aware Stochastic KV Cache Eviction. Reasoning models think in CoT, bloating the KV cache. Eviction caps memory but suffers capability drop. VaSE is a training-free recipe that cuts that cost: keep large-magnitude value states, evict stochastically.
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  • @CharlotteTYC
    Ting-Yun Chang
    @CharlotteTYC
    Sep 25, 2025
    Our paper "Why Do Some Inputs Break Low-Bit LLM Quantization?" w/ @zhang_muru @_jessethomason_ @robinomial is accepted to EMNLP 2025. arxiv.org/abs/2506.12044
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  • @CharlotteTYC
    Ting-Yun Chang
    @CharlotteTYC
    Nov 11, 2024
    I will be presenting our LLM Interp. paper at #EMNLP2024 in Miami! 🗞️When Parts are Greater Than Sums: Individual LLM Components Can Outperform Full Models 🗓️Nov 12 Tue 14:00-15:30 (Jasmine) terarachang.github.io/projects/llm-d…
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  • @CharlotteTYC
    Ting-Yun Chang
    @CharlotteTYC
    Oct 11, 2024
    ✨updated paper, blog, code & video of our #EMNLP2024 paper "When Parts Are Greater Than Sums: Individual LLM Components Can Outperform Full Models" w/ @_jessethomason_ @robinomial terarachang.github.io/projects/llm-d…
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