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From the 1 of 5 linked papers with an AI index.

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5 papers

cs.RO2026

Kepler-Encoder-v0.1: Towards a Multimodal Embedding Model for Robots

Ishneet Sukhvinder Singh, Dhanoosh Pooranakumaran, Alex Nguyen +1

The paper introduces Kepler-Encoder-v0.1, a self‑supervised multimodal encoder that fuses vision, proprioception, and force/torque data into a shared latent space, enabling a visio…

cs.AI2026

From Refusal Tokens to Refusal Control: Discovering and Steering Category-Specific Refusal Directions

Rishab Alagharu, Ishneet Sukhvinder Singh, Shaibi Shamsudeen +2

Language models are commonly fine-tuned for safety alignment to refuse harmful prompts. One approach fine-tunes them to generate categorical refusal tokens that distinguish differe…

cs.RO2026

VLS: Steering Pretrained Robot Policies via Vision-Language Models

Shuo Liu, Ishneet Sukhvinder Singh, Yiqing Xu +2

Why do pretrained diffusion or flow-matching policies fail when the same task is performed near an obstacle, on a shifted support surface, or amid mild clutter? Such failures rarel…

cs.CL2025

Rewrite-to-Rank: Optimizing Ad Visibility via Retrieval-Aware Text Rewriting

Chloe Ho, Ishneet Sukhvinder Singh, Diya Sharma +4

Search algorithms and user query relevance have given LLMs the ability to return relevant information, but the effect of content phrasing on ad visibility remains underexplored. We…

cs.CL2025

ChunkRAG: Novel LLM-Chunk Filtering Method for RAG Systems

Ishneet Sukhvinder Singh, Ritvik Aggarwal, Ibrahim Allahverdiyev +4

Retrieval-Augmented Generation (RAG) systems using large language models (LLMs) often generate inaccurate responses due to the retrieval of irrelevant or loosely related informatio…