Alignment, interpretability, red-teaming, bias and privacy: the research on what these systems do when they misbehave.
arXiv:2611.05720v1 Announce Type: new Abstract: Search can help LLM agents correct mistakes, but their starting conditions may shape which evidence they find and use. Drawing on cognitive-bias paradi...
arXiv:2611.06384v1 Announce Type: new Abstract: Typed decision models offer structured choices, scores, and probabilities for low-cost automated evaluation. We present a controlled audit of presentat...
arXiv:2611.06402v1 Announce Type: new Abstract: QA-based text embeddings represent texts as vectors consisting of 1/0 answers to yes/no questions. Although these embeddings provide detailed informati...
arXiv:2611.06501v1 Announce Type: new Abstract: Simultaneous Speech Translation (SimulST) requires balancing translation quality and latency. While Large Language Models (LLMs) excel in offline trans...
arXiv:2611.06812v1 Announce Type: new Abstract: With the growing need for evaluating Large Language Models (LLMs) and their applications to speech, challenges persist in summarizing and evaluating co...
arXiv:2611.06839v1 Announce Type: new Abstract: Large language model (LLM) assistants increasingly help users with everyday activities that involve time-dependent constraints. However, users may not...
arXiv:2611.05954v1 Announce Type: cross Abstract: Pedestrians increasingly encounter robots in urban public spaces without interacting with them, but how robots change the perceived safety of a stree...
arXiv:2512.20773v5 Announce Type: replace Abstract: Realistic user simulation is crucial for training and evaluating multi-turn dialogue systems, yet creating simulators that accurately replicate hum...
arXiv:2601.20476v3 Announce Type: replace Abstract: We investigate how provision of in-context examples based on discourse similarity affects quality and hallucination in diagram code generation from...
arXiv:2602.09870v3 Announce Type: replace Abstract: Steering methods influence Large Language Model behavior by identifying semantic directions in hidden representations, but are typically realized t...
arXiv:2603.01865v4 Announce Type: replace Abstract: LLM-as-judge evaluation has become standard practice for open-ended model assessment; however, judges exhibit systematic biases that cannot be aver...
arXiv:2603.19002v2 Announce Type: replace Abstract: Simulating survey responses with LLMs offers a scalable alternative to costly human data collection, yet evaluation methods remain ad hoc and incon...
arXiv:2604.08567v3 Announce Type: replace Abstract: Large language models (LLMs) and LLM-based agents are increasingly deployed as assistants in planning and decision making, yet most existing system...
arXiv:2606.19544v2 Announce Type: replace Abstract: LLM-as-a-Judge has become the dominant evaluation paradigm for language models, but judge validation in practice relies on exact-match agreement, a...
arXiv:2611.04878v2 Announce Type: replace Abstract: Despite their remarkable capabilities, large foundation models (LFMs) remain susceptible to adversarial manipulation. Current safety intervention m...
arXiv:2611.05380v1 Announce Type: new Abstract: Visual autoregressive generation spans two dominant paradigms: next-scale prediction for images and video, and next-frame prediction for video. Both de...
arXiv:2611.05404v1 Announce Type: new Abstract: The hand localization problem has been a longstanding focus due to its many applications. The task involves modeling the hand as a singular point and d...
arXiv:2611.05599v1 Announce Type: new Abstract: Grounding a text query in an image needs a matrix scoring every term against every patch. Vision-language models compute it with an aligned text encode...
arXiv:2611.05648v1 Announce Type: new Abstract: Adversarial diffusion distillation has conventionally relied on image features for discrimination. We revisit this choice for multimodal diffusion tran...
arXiv:2611.05818v1 Announce Type: new Abstract: Marine surface vehicles (MSVs) have attracted considerable attention for their commercial, scientific, and military applications. Owing to their favora...