Turning Trash into Treasure: Accelerating Inference of Large Language Models with Token Recycling (2025 · 22 citations)
LLM inference is slow because autoregressive decoding emits one token per step, and each step is dominated by memory transfer of billions of weights.
Infinity-MM: Scaling Multimodal Performance with Large-Scale and High-Quality Instruction Data (2024 · 13 citations)
Open vision-language models (VLMs) trained only on public instruction data still trail systems built on proprietary data.
When Helpers Become Hazards: A Benchmark for Analyzing Multimodal LLM-Powered Safety in Daily Life (2026 · 1 citation)
Multimodal LLMs are increasingly used as everyday assistants. Their answers can steer people into risky actions even when the user has no harmful intent. Most existing safety benchmarks target jailbreaks or explicit harm, and implicit-risk sets tend to be small or artificial. The authors introduce SaLAD, a benchmark…
AlphaContext: An Evolutionary Tree-based Psychometric Context Generator for Creativity Assessment (2026)
Context-based tests are an established way to measure human creative thinking. Future-oriented problem scenarios in the tradition of the Future Problem Solving Program are a common example. Writing such long-form contexts is slow expert work. Plain LLM prompting tends to produce texts with too few embedded assessment…

Co-authors here

12 of 16 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

Papers of our library cite their works 34 times (of the 149,439 papers whose bibliographies we read); 10 citing papers with a page here →.

Updated 1 November 2026