diversity

Introduces StructuredSemanticSearch, a model search framework that combines semantic similarity with structured table discovery to improve diversity and coverage of recommended models, evaluated on a benchmark of 597 queries.

This paper proposes ensemble monitoring for AI control, combining diverse monitors to improve detection of misaligned actions. Experiments show that diverse ensembles outperform homogeneous ones and that fine-tuned monitors add unique detection capabilities.

The author trained Qwen3.5 to jailbreak itself with reinforcement learning, using diversity rewards to surface multiple attack strategies, then improved the defender's robustness from 64% to 92% defense rate with a slight drop in benign accuracy.

This paper introduces a quantitative notion of diversity of extensions in abstract argumentation based on symmetric difference, and provides a systematic complexity classification for related reasoning tasks.

This paper introduces a validity-diversity framework attributing diversity collapse in LLMs to order and shape miscalibration during decoding, validated across 14 language models.

This paper proposes mid-training language models on self-generated diverse reasoning traces before reinforcement learning, showing improved RL performance on math benchmarks by exposing models to multiple valid solution approaches.

OpenAI Scholars 2020 program concluded with final projects investigating GPT-2 grammar representation, model interpretability, and medical applications like epileptic seizure prediction. The program provides stipends and mentorship to underrepresented groups in machine learning.

OpenAI announces the 2020 Scholars program, a remote fellowship for underrepresented groups in AI and engineering with 2+ years of software engineering experience. Applications are open to eligible candidates in US timezones with work authorization.

OpenAI Scholars 2019 is now accepting applications for a remote program targeting underrepresented groups in science and engineering. The 3-month program is open to people with US work authorization in US timezones who have basic programming skills and foundational knowledge of calculus and linear algebra.

OpenAI announces the completion of its first Scholars cohort program, with eight participants completing final projects and a Demo Day scheduled for September 20th to showcase their work and discuss their ML futures.

OpenAI Scholars is a mentorship and grant program for underrepresented groups in science and engineering to learn deep learning over a three-month period. Applications are open with rolling reviews starting March 14th and closing March 31st, 2018.