News from DeCLaRe Lab
A flexible record for papers, grants, awards, student milestones, visitors, releases, and lab announcements. Prospective students and collaborators can use this page to understand what the group is actively building.
2026
VentureBeat features δ-mem as working memory for AI agents
VentureBeat interviewed Kyrie Lei and covered δ-mem as a compact 0.12% parameter add-on that gives AI agents a lightweight internal working memory. The article frames δ-mem as an important move beyond simply expanding context windows or adding more RAG: fast, online memory inside the model for long-running agent workflows.
DeCLaRe students begin research internships
Congratulations to our students on beginning research internships with leading AI research teams.
- Jingdi Lei at Tencent
- Ruiwen at MiniMax
- Chia-Yu Hung at Meta's Super Intelligence Lab
- Maojia Song at Meta's Super Intelligence Lab
PODS studies how much data to use during efficient training
The new arXiv paper complements Data Agent by scheduling the selected data volume over training, improving the efficiency-generalization trade-off under the same data budget.
δ-mem introduces lightweight online memory for LLMs
The new arXiv paper studies how a compact online memory state can evolve during interaction and directly modulate Transformer attention without extending the explicit context.
Embodied Foundational Models funded by CNRS@CREATE and NRF
The project supports research on embodied foundation models, generalist interactive AI, and vision-language-action systems. Students interested in embodied AI are encouraged to review our research themes and apply.
Join DeCLaRe LabToward Generalist Vision Language Action Models supported by KLASS
This funded project focuses on VLA models, action grounding, and embodied evaluation. We welcome inquiries from students with interests in robotics, multimodal learning, and efficient model training.
Embodied AI themeOffTopicEval studies operational safety for LLM agents
OffTopicEval evaluates whether task-specific LLM agents can accept in-domain queries while refusing out-of-domain requests.
Read the paperData Agent advances efficient learning
Data Agent studies end-to-end dynamic data selection for training-aware efficiency.
Highly Cited Researcher recognition
Soujanya Poria was recognized by Web of Science as a Highly Cited Researcher.
2025
Meta Audiobox Research Grant supports audio generation research
The grant supports work on audio generation and multimodal generative modeling. Students interested in speech, audio, music, and multimodal generation can follow the Publications page for related work.
Speech and audio papersTrust-Score/Trust-Align and MOOSE-Chem accepted at ICLR
These papers study trustworthy retrieval-augmented generation and AI for Science through chemistry hypothesis rediscovery.
Related publicationsNORA and NORA 1.5 project pages released
The lab released project pages for compact vision-language-action models and reward-guided post-training for embodied tasks.
NORA projectDeCLaRe Lab at NTU
The lab is based at Nanyang Technological University, Singapore. We welcome inquiries from students, postdocs, visiting researchers, and collaborators whose interests connect to the lab's research themes.
Opportunities