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cs.CL2025
SimLens for Early Exit in Large Language Models: Eliciting Accurate Latent Predictions with One More Token
Ming Ma, Bowen Zheng, Zhongqiao Lin +1
Intermediate-layer predictions in large language models (LLMs) are informative but hard to decode accurately, especially at early layers. Existing lens-style methods typically rely…
cs.CL2024
Label Words as Local Task Vectors in In-Context Learning
Bowen Zheng, Ming Ma, Zhongqiao Lin +1
Large Language Models (LLMs) have demonstrated remarkable abilities, one of the most important being in-context learning (ICL). With ICL, LLMs can derive the underlying rule from a…
cs.CL2021
How to Build Robust FAQ Chatbot with Controllable Question Generator?
Yan Pan, Mingyang Ma, Bernhard Pflugfelder +1
Many unanswerable adversarial questions fool the question-answer (QA) system with some plausible answers. Building a robust, frequently asked questions (FAQ) chatbot needs a large…