activity
20232026
most citedLearning Discriminative Features for Crowd Counting

19 citations · 24 across the 11 of their papers we have counts for

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5 papers · 1 filter

cs.CL2026

Measuring Maximum Activations in Open Large Language Models

Luxuan Chen, Han Tian, Xinran Chen +9

The dynamic range of activations is a first-order constraint for low-bit quantization, activation scaling, and stable LLM inference. Prior work characterized outlier features and m…

cs.CL2026

EndPrompt: Efficient Long-Context Extension via Terminal Anchoring

Han Tian, Luxuan Chen, Xinran Chen +10

Extending the context window of large language models typically requires training on sequences at the target length, incurring quadratic memory and computational costs that make lo…

cs.CL2025

Towards AI Search Paradigm

Yuchen Li, Hengyi Cai, Rui Kong +20

In this paper, we introduce the AI Search Paradigm, a comprehensive blueprint for next-generation search systems capable of emulating human information processing and decision-maki…

cs.CL2025★ 1 cited

Evaluating LLM-based Agents for Multi-Turn Conversations: A Survey

Shengyue Guan, Jindong Wang, Jiang Bian +3

This survey examines evaluation methods for large language model (LLM)-based agents in multi-turn conversational settings. Using a PRISMA-inspired framework, we systematically revi…

cs.CL2023★ 2 cited

Natural Language based Context Modeling and Reasoning for Ubiquitous Computing with Large Language Models: A Tutorial

Haoyi Xiong, Jiang Bian, Sijia Yang +3

Large language models (LLMs) have become phenomenally surging, since 2018--two decades after introducing context-awareness into computing systems. Through taking into account the s…