Alignment, interpretability, red-teaming, bias and privacy: the research on what these systems do when they misbehave.
arXiv:2610.34013v1 Announce Type: new Abstract: More people are seeking out general-purpose AI models for medical advice, including diagnosis. Yet, AI models are susceptible to sycophancy, like valid...
arXiv:2610.34889v1 Announce Type: new Abstract: Controlling personality in large language models is important for building conversational agents that can be customized to different users and interact...
arXiv:2610.35102v1 Announce Type: new Abstract: Synthetic supervision can bootstrap semantic parsers in new search domains, but prompt-induced diversity is useful only when generations are faithful t...
arXiv:2610.35168v1 Announce Type: new Abstract: The value of language models for any community depends on whether a model actually understands the culture of the people it intends to serve. We use th...
arXiv:2610.35432v1 Announce Type: new Abstract: Neural audio codecs are increasingly used to encode speech for integration with large language models. This paper investigates the phonetic representat...
arXiv:2610.35475v1 Announce Type: new Abstract: Automated fake news detection is vital on social media, where fake news is easily rewritten to fool detectors. However, existing approaches typically r...
arXiv:2610.35671v1 Announce Type: new Abstract: As frontier language models grow increasingly capable and autonomous, independent third-party evaluations are critical for characterizing their systemi...
arXiv:2610.35743v1 Announce Type: new Abstract: Existing jailbreak attackers fall into two classes: static planners fix their single- or multi-turn adversarial plans in advance, remaining simple but...
arXiv:2606.23283v2 Announce Type: replace Abstract: Memory systems are essential for personalized Large Language Models (LLMs). However, retrieval within these systems primarily relies on semantic si...
arXiv:2606.23566v3 Announce Type: replace Abstract: Language-specific tokenizers improve tokenization quality and the downstream performance of models on those languages. Using one with an existing p...
arXiv:2610.25458v2 Announce Type: replace Abstract: Small language models have improved to the point where a phone can plausibly screen its own calls, answering on an absent owner's behalf without se...
arXiv:2602.14635v2 Announce Type: replace-cross Abstract: Model compression is necessary for deployment of transformer models in resource-constrained environments. However, compression reduces the pe...
arXiv:2606.00497v2 Announce Type: replace-cross Abstract: Deceptive web content, widely instantiated across the internet and commonly known as \textit{social-engineering attacks}, manipulates autonom...
arXiv:2610.33551v1 Announce Type: new Abstract: High-resolution remote sensing (RS) imagery provides fine spatial detail over large areas, making it essential for fine-grained scene understanding. Re...
arXiv:2610.34130v1 Announce Type: new Abstract: Indoor IoT cameras can support assisted living and activity-aware spaces, but exporting raw RGB frames raises privacy concerns by exposing facial, clot...
arXiv:2610.34304v1 Announce Type: new Abstract: Conveyor belts are vital arteries in continuous bulk material handling, particularly in heavy process industries such as cement manufacturing. Undetect...
arXiv:2610.34765v1 Announce Type: new Abstract: Multi-modal video fusion aims to generate temporally coherent videos with salient targets and rich structural details by integrating complementary info...
arXiv:2610.34819v1 Announce Type: new Abstract: Monocular observations of a tumbling object can support a precise fitted trajectory without establishing that the recovered physical axis is correct. W...
arXiv:2610.34879v1 Announce Type: new Abstract: Document layout analysis (DLA) faces a long-standing dilemma: existing methods either capture rich local details at prohibitive computational cost (e.g...
arXiv:2610.34925v1 Announce Type: new Abstract: In surgical instrument segmentation, the increasing variety of instruments over time poses a significant challenge for existing neural networks, as the...