Machine
studying
Our emerging research direction on machine studying, alongside broader work on model knowledge and memory.
KNOWLEDGE × MEMORY DATAX AI SCIENCE × TYPHOON R&D
Intelligence,
grounded in
research.
Advancing language models and the agents built around them. From Thai language understanding to memory, reasoning, and reliable real-world interaction.
Built on collaboration. Grounded in evidence.
LANGUAGE MEMORY AGENTS EVALUATION
CONNECTED IDEAS.
NEW POSSIBILITIES.[ DX / 01 ]
NEW POSSIBILITIES.[ DX / 01 ]
A shared research
perspective.
perspective.
29selected publications
12featured researchers
06connected research areas
RESEARCH COLLECTION2025 — 2026
01 / RESEARCH DIRECTIONS
From foundations
to capable systems.
We connect model research with the questions that matter in practice: what models understand, how agents act, and how we know they work.
01
Language models
Thai and multilingual foundations, language adaptation, and open training resources.
02Agents & evaluation
Tool use, role-play behavior, cultural safety, and evaluation beyond English.
03Memory & retrieval
Knowledge editing, retrieval-augmented generation, and grounded model knowledge.
04Reasoning
Post-training, model merging, mathematical problem solving, and expert reasoning.
05Speech & multimodal
Audio understanding, voice interaction, and text-rich Thai document intelligence.
06Applied AI
Connecting research methods with structured data and domain-specific knowledge.
02 / CURRENT EXPLORATIONS
The questions
we’re working on next.
RESEARCH IN PROGRESS
New directions in how models study, how agents behave, and how their capabilities are evaluated.
Machine
Automatic
agentic evaluation
Investigating automated ways to assess agent behavior, tool use, and task outcomes across realistic interactions.
MEASUREMENT × RELIABILITYAgent
simulation
Exploring simulated interactions as a way to study agent behavior and human–agent workflows.
INTERACTION × BEHAVIORRole-play
LLMs
Studying role consistency, dialogue behavior, and tool-use decisions in role-conditioned language-model agents.
ROLES × TOOL USEActive directions shared by the research team. These are ongoing investigations, not claims of completed results or released systems.
03 / SELECTED PUBLICATIONS
Ideas, tested
and shared.
Explore selected co-authored work across DataX, Typhoon, and the wider research community. Every paper links to its source.
Featured first · then newest
No matching publications.
Try a researcher’s name, a broader topic, or a different year.
Includes collaborative work and related research by featured authors; not all papers were produced under the same institutional affiliation. Venue badges distinguish proceedings, workshops, and preprints. SEATauBench’s acceptance is reported on the author’s website.
04 / PEOPLE & COLLABORATION
Different perspectives.
Shared curiosity.
A connected group of scientists and collaborators bringing together language, learning, and systems research.
DataX AI Science & contributors
MODELS · KNOWLEDGE · AGENTSTyphoon R&D & contributors
LANGUAGE · REASONING · MULTIMODALA selected research network, not a complete staff directory. Core groups follow the supplied research overview; additional contributors are included through public team and publication records.
05 / OPEN RESEARCH
Take a closer look.
Read the work. Explore the resources. Build on the ideas.
GOOD RESEARCH STARTS WITH A CONVERSATION.
Let’s ask the
next question. Together.
Interested in language models, agent evaluation, memory, or Thai AI? Connect with Saksorn to start a research conversation.