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Posts, news, and announcements from the UF Data Studio.

Future Retrieval

Future Retrieval

What Does the Future Talk About?

Figure 1 from Zhang et al. (ACL 2026), showing the LoopTool closed-loop pipeline for iterative tool-use enhancement.

LoopTool — When Tool-Use Training Needs a Closed Loop

A blogpost on an ACL 2026 paper that couples GRPO training with greedy probing, judge-guided label repair, and error-driven data expansion for robust LLM function calling.

Highrise buildings standing on the left of streetlights and streetlamps with the overhanging roof and tall glass facade of the Colorado Convention Center looming to the right.

RAN Notation - Introducing Objectivity to Descriptions of Resource Scarcity in NLP

We discuss a recent breakthrough in language documentation. Researchers introduce a new formalism to concisely communicate the number of speakers and corpus sizes of languages.

Veridicality

Forecasting Winners and Losers from User Predictions on Twitter

High rise buildings standing on the left of streetlights and streetlamps with the overhanging roof and tall glass facade of the Colorado Convention Center looming to the right.

The OpenMantra Dataset for Multimodal Manga Translation

OpenMantra is a dataset from the same lab behind Manga109, published in 2021. In this post, we contrast OpenMantra with the much more well known Manga109, and we discuss how the UF Data Studio may use it in the future.

Figure 1 from Feng and Yang, comparing FFT and LoRA training curves on Quora paraphrase detection.

When DPO and LoRA Stop Helping — Lessons from GPT-2 Scale

A blogpost on an empirical study of SFT, DPO, FFT, and LoRA on a 124M-parameter GPT-2 backbone for paraphrase detection and Shakespeare sonnet continuation.

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