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cs.CL2025
Distribution-Aligned Decoding for Efficient LLM Task Adaptation
Senkang Hu, Xudong Han, Jinqi Jiang +5
Adapting billion-parameter language models to a downstream task is still costly, even with parameter-efficient fine-tuning (PEFT). We re-cast task adaptation as output-distribution…
cs.CL2025
Efficient Long CoT Reasoning in Small Language Models
Zhaoyang Wang, Jinqi Jiang, Tian Qiu +3
Recent large reasoning models such as DeepSeek-R1 exhibit strong complex problems solving abilities by generating long chain-of-thought (CoT) reasoning steps. It is challenging to…
cs.CL2025
Verifiable Format Control for Large Language Model Generations
Zhaoyang Wang, Jinqi Jiang, Huichi Zhou +4
Recent Large Language Models (LLMs) have demonstrated satisfying general instruction following ability. However, small LLMs with about 7B parameters still struggle fine-grained for…