arXiv:2603.29950v1 Announce Type: cross
Abstract: Effective collaboration requires teams to manage complex cognitive and emotional states through Socially Shared Regulation of Learning (SSRL). Physiological synchrony (i.e., longitudinal alignment in p…
arXiv:2603.17512v2 Announce Type: replace
Abstract: Large language models (LLMs) exhibit strong general intelligence, yet their multilingual performance remains highly imbalanced. Although LLMs encode substantial cross-lingual knowledge in a unified s…
arXiv:2601.04448v2 Announce Type: replace
Abstract: Large Language Models (LLMs) have greatly advanced Natural Language Processing (NLP), particularly through instruction tuning, which enables broad task generalization without additional fine-tuning. …
arXiv:2511.22715v2 Announce Type: replace-cross
Abstract: Multimodal Large Language Models (MLLMs) have shown impressive capabilities in jointly understanding text, images, and videos, often evaluated via Visual Question Answering (VQA). However, even…
arXiv:2506.21458v2 Announce Type: replace-cross
Abstract: Can Vision-Language Models (VLMs) imagine the full scene from just a few views, like humans do? Humans form spatial mental models naturally, internal representations of unseen space, to reason …
arXiv:2603.26738v2 Announce Type: replace-cross
Abstract: While automated sleep staging has achieved expert-level accuracy, its clinical adoption is hindered by a lack of auditable reasoning. We introduce SleepVLM, a rule-grounded vision-language mode…
Release: datasette-extract 0.3a0
Now uses datasette-llm to manage model configuration, which means you can control which models are available for extraction tasks using the extract purpose and LLM model configuration. #38
Tags: …
Release: datasette-enrichments-llm 0.2a0
This plugin now uses datasette-llm to configure and manage models. This means it’s possible to specify which models should be made available for enrichments, using the new enrichments purpose.
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Release: datasette-llm-usage 0.2a0
Removed features relating to allowances and estimated pricing. These are now the domain of datasette-llm-accountant.
Now depends on datasette-llm for model configuration. #3
Full prompts and responses and t…
Release: datasette-llm 0.1a5
The llm_prompt_context() plugin hook wrapper mechanism now tracks prompts executed within a chain as well as one-off prompts, which means it can be used to track tool call loops. #5
Tags: llm, data…