We have 3 of 15 papers
We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.
Not the right person? Other researchers publish under this name.
Ultra-low-bit scalar quantization offers a regular arithmetic structure for efficient deployment of large language models, but preserving predictive behavior at extreme precision remains challenging: with only a few reconstruction levels, accurate weight representation must translate into consistent predictions from a...
This work presents SeqLLM, a framework that adds behavioral-sequence modeling to a pretrained LLM while preserving its language ability, and achieves state-of-the-art results on public recommendation benchmarks.
This work introduces UserIDA (User Intent-Directive Alignment), which exposes interaction intent as an explicit per-turn directive, and establishes per-turn intent control as a complementary dimension to response fidelity in user simulation.
We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.
