2 citations · 2 across the 4 of their papers we have counts for
4 papers
Flint: A Semantics-Driven Data Visualization Intermediate Language
Yunhai Wang, Kecheng Lu, Junhao Chen +2
We present Flint, an intermediate language that enables authors to create high-quality visualizations from concise, semantics-driven specifications without explicitly configuring l…
States Hidden in Hidden States: Implicit Discrete State Representations Emerge in LLMs' Hidden States
Junhao Chen, Shengding Hu, Zhiyuan Liu +1
Large Language Models (LLMs) exhibit emergent abilities that may reveal aspects of their internal mechanisms. We study one such capability: directly performing extended sequences o…
Bench: Extending Long Context Evaluation Beyond 100K Tokens
Xinrong Zhang, Yingfa Chen, Shengding Hu +8
Processing and reasoning over long contexts is crucial for many practical applications of Large Language Models (LLMs), such as document comprehension and agent construction. Despi…
Fine-grained Stateful Knowledge Exploration: Effective and Efficient Graph Retrieval with Large Language Models
Dehao Tao, Congqi Wang, Feng Huang +3
Large Language Models (LLMs) have shown impressive capabilities, yet updating their knowledge remains a significant challenge, often leading to outdated or inaccurate responses. A…