Image Corruption-Inspired Membership Inference Attacks against Large Vision-Language Models (2026 · 1 citation)
The paper asks whether someone holding only an image, with no caption, can tell if that image was in the training data of a large vision-language model (LVLM).
Robust Tool Use via Fission-GRPO: Learning to Recover from Execution Errors (2026 · 1 citation)
Small tool-calling LLMs handle multi-turn tasks poorly once a tool call fails. Instead of reading the error message and adjusting, they often repeat the same invalid call until the dialogue breaks down. On BFCL v4 Multi-Turn, Qwen3-8B recovers in only about 20% of such cases, while Claude Sonnet 4 recovers in over…
Graph-Assisted Large Language Models: A Perspective on Mitigating Intrinsic Limitations (2026)
This survey asks how graph structures can offset three built-in weaknesses of large language models. The first is knowledge: static training leads to outdated facts, errors, and unwanted memorization. The second is reasoning: token-by-token generation produces linear chains that cannot branch or backtrack. The third…

Co-authors here

12 of 15 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 2 times (of the 149,439 papers whose bibliographies we read); 1 citing paper with a page here →.

Updated 1 November 2026