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9,568 papers
A framework for evaluating and improving a large-scale, multi-agent shopping assistant in production in production is presented, and lessons from its use are reported.
This survey formalizes persistent evidence-grounded document state as a unifying framework, specifying the operations and invariants required to convert multimodal evidence into durable, provenance-linked state.
Communication between two frozen large language models from different providers, with different tokenizers, accessed through their API endpoints is studied, finding that successful place value communication in some runs is rare.
The results confirm the hypothesis that LLMs, when instructed through Prompt Engineering, can achieve performance comparable to or superior to manual extraction by health professionals, and demonstrate its potential as a complementary verification tool alongside specialists.
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While modern text-to-speech (TTS) systems generate highly natural speech and support inline non-verbal vocalization (NVV) tags, accurate control over these events remains challenging. A key gap is the lack of established post-training methods for non-verbal control in continuous autoregressive flow-matching TTS. To thi...
A training-free method that reformulates question--frame matching as comparing frames against a set of dynamically generated visual cues, showing that agentic cue refinement drives active re-exploration of the video, yielding relative similarity gains of up to 92% over the initial context.
This work aims to promote broader adoption of OT in speech processing by reviewing OT foundations through intuitive physical interpretations and highlighting connections to modern generative models, and demonstrating OT applications in cross-domain and cross-modal speech tasks.
A practical way to build general-purpose manipulation experiments around GPT-6-Astra is suggested: supply machine-readable body descriptions and synchronized demonstrations, and turn useful agent-generated feedback routines into reusable skills, while the agent adapts actions from current images.
This work introduces MM-VeriRec, a verifiable multimodal recommendation protocol and failure-guided fusion method for hidden visual constraints, image-text mismatch, and impossible-task abstention in agentic multimodal recommendation.
A cross-domain learning model is proposed, using an original neural network architecture based on a Temporal Convolutional Network and multiple prediction heads, designed to improve handwriting trace reconstruction from sensor data, where each domain benefits from additional data provided by the other domain.
Recent work suggests that obscure language registers can weaken large language model refusal behavior, especially when paired with black-box prompt optimization. It remains unclear whether failures stem from non-standard surface form, culturally grounded framing, or optimization over an expressive prompt-strategy space...
It is found that no single retriever family dominates across documents; parser and chunker choice interact significantly; MPNet-base is a consistent underperformer with a severe failure mode on table-derived questions; and the corpus exhibits a near-saturated evidence-preservation ceiling above 98%, indicating that ret...
Natural Language Processing
Our most capable vision-language-action model enhances robot dexterity, reliability, and safety
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A Blog post by IBM Research on Hugging Face
Flint-interactive gives AI agents a language for creating interactive visualizations. Click a chart, filter data, highlight related content, and explore beyond the view the author originally chose. The post Flint-interactive: A language for creating interactive data visualizations appeared first on Microsoft Research.
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