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Research paper

ACNMP: Skill Transfer and Task Extrapolation through Learning from Demonstration and Reinforcement Learning via Representation Sharing

To equip robots with dexterous skills, an effective approach is to first transfer the desired skill via Learning from Demonstration (LfD), then let the robot improve it by self-exploration via Reinforcement Learning (RL). In this paper, we propose a novel LfD+RL framework, namely Adaptive Conditional Neural Movement Primitives (ACNMP), that allows efficient policy improvement in novel environments and effective skill transfer between different agents. This is achieved through exploiting the latent representation learned by the underlying Conditional Neural Process (CNP) model, and simultaneous training of the model with supervised learning (S

Akbulut, M. Tuluhan, Oztop, Erhan, Seker, M. Yunus, Xue, Honghu, Tekden, Ahmet E., Ugur, Emre
Creative Commons Attribution 4.0 InternationalView resource
Research paper

Camels in a Changing Climate: Enhancing LM Adaptation with Tulu 2

Research paper by Hamish Ivison and collaborators. Published 2023-11-17. Topics: instruction tuning, T\"ULU, T\"ULU-V2-mix, LLAMA-2, direct preference optimization (DPO).

Hamish Ivison, Yizhong Wang, Valentina Pyatkin, Nathan Lambert, Matthew Peters, Pradeep Dasigi, Joel Jang, David Wadden, Noah A. Smith, Iz Beltagy, Hannaneh Hajishirzi
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Research paper

DR Tulu: Reinforcement Learning with Evolving Rubrics for Deep Research

Research paper by Rulin Shao and collaborators. Published 2025-11-24. Topics: Reinforcement Learning with Verifiable Rewards (RLVR), Reinforcement Learning with Evolving Rubrics (RLER), Deep Research Tulu (DR Tulu-8B), long-form deep research, deep research models.

Rulin Shao, Akari Asai, Shannon Zejiang Shen, Hamish Ivison, Varsha Kishore, Jingming Zhuo, Xinran Zhao, Molly Park, Samuel G. Finlayson, David Sontag, Tyler Murray, Sewon Min, Pradeep Dasigi, Luca Soldaini, Faeze Brahman, Wen-tau Yih, Tongshuang Wu, Luke Zettlemoyer, Yoon Kim, Hannaneh Hajishirzi, Pang Wei Koh
Research paper

Experiments with Sentiment Analysis of Code-mixed Tulu

Research paper by Hosahalli Lakshmaiah Shashirekha and collaborators, published 2026 in Zenodo (CERN European Organization for Nuclear Research). Research area: Sentiment Analysis and Opinion Mining.

Hosahalli Lakshmaiah Shashirekha, Rachana Nagaraju, B H Shekar
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