From the 1 of 6 linked papers with an AI index.
6 papers
Back from the Future: Key-Value Cache Management by Counter-Causal Surprise
Stephen Gould, Anton van den Hengel
The paper introduces a KV cache eviction method for large language models that removes entries predicted well by future tokens using a counter‑causal attention pass, improving memo…
Beyond the Global Scores: Fine-Grained Token Grounding as a Robust Detector of LVLM Hallucinations
Tuan Dung Nguyen, Minh Khoi Ho, Qi Chen +8
Large vision-language models (LVLMs) achieve strong performance on visual reasoning tasks but remain highly susceptible to hallucination. Existing detection methods predominantly r…
Points-to-3D: Structure-Aware 3D Generation with Point Cloud Priors
Jiatong Xia, Zicheng Duan, Anton van den Hengel +1
Recent progress in 3D generation has been driven largely by models conditioned on images or text, while readily available 3D priors are still underused. In many real-world scenario…
Overthinking Causes Hallucination: Tracing Confounder Propagation in Vision Language Models
Abin Shoby, Ta Duc Huy, Tuan Dung Nguyen +6
Vision Language models (VLMs) often hallucinate non-existent objects. Detecting hallucination is analogous to detecting deception: a single final statement is insufficient, one mus…
Chem4DLLM: 4D Multimodal LLMs for Chemical Dynamics Understanding
Xinyu Li, Zhen Zhang, Qi Chen +3
Existing chemical understanding tasks primarily rely on static molecular representations, limiting their ability to model inherently dynamic phenomena such as bond breaking or conf…
Looking in the mirror: A faithful counterfactual explanation method for interpreting deep image classification models
Townim Faisal Chowdhury, Vu Minh Hieu Phan, Kewen Liao +5
Counterfactual explanations (CFE) for deep image classifiers aim to reveal how minimal input changes lead to different model decisions, providing critical insights for model interp…