NLP for space science

Talks VIDEO recordings

 

Please note that all times are in CEST Madrid (UTC+2).

 

MONDAY               TUESDAY                WEDNESDAY

 

Monday, 9th September

 

Time Duration Author Title
10:30 00:30 Maya Jablonska (ANU)

A Universe To Be Decided

11:30 00:30 Nolan Koblischke (UToronto)

A Benchmark for AI Astrophysicists: Evaluating Vision-Language Agents in Hidden Physics Discovery

12:00 00:30 Alberto Accomazzi and Kelly Lockhart (NASA ADS)

AI and NLP at NASA ADS

12:30

00:30 Dhruv Sondhi (University of Western Ontario)

Navigating Astrophysics Literature: Harnessing AstroBERT and UAT

13:00 01:30 Lunch break
14:30 01:00 Roberta Raileanu (Meta/Facebook)

LLMs: How It Started and Where It’s Going

16:00 00:30 Simone Astarita (ESA)

Delving into the Utilisation of ChatGPT in Scientific Publications in Astronomy

16:30 00:30 Tereza Jerabkova (ESO)

Scientific Text Analysis with Robots applied to observatory proposals

17:00 00:30 Vicente Amado Olivo (Michigan State Unviersity)

Globalizing Telescope Peer Review through AI-Driven Researcher Identification

 

Tuesday, 10th september

Time Duration Author Title
11:30 00:30

Micah Bowles (University of Oxford)

Semantic Taxonomies in Astronomy

12:00 00:30 Zoe Boutsi and Vassilis Antonopoulos (National Observatory of Athens)

TACTICIAN: AI-based applications knowledge extraction from ESA’s mission scientific publications

12:30 00:30 George Vasalos and Zoe Boutsi (National Observatory of Athens)

HRE and EO publications-data linkage with TACTICIAN

13:00 01:00 Lunch break
14:00 00:30 André Schaaff (Strasbourg Astronomical Data Center)

Chatting with the CDS services — VO standards and NLP

14:30 00:30 Miguel Doctor and Marcos Lopez-Caniego (ESA)

The ESA virtual assistant in ESASky, enhancing astronomical data discovery via NLP

15:00 00:30 David Hendriks (University of Surrey)

Astrotalks

16:00 00:30 Josh Peak (STScI)

Evaluating LLM performance in Research Astronomy

16:30 00:30 Pranav Khetarpal (Indian Institute of Technology Delhi)

Evaluating a Large Multimodal Model

17:00 00:30 Kartheik Iyer (Columbia)

Pathfinder

 

Wednesday, 11th september

Time Duration Author Title
11:30 00:30 Adrián Gayo (Universidad Autonoma de Madrid)

Iterative self-refined LLM code for spacecraft landing

12:00 00:30 Michael Smith (UniverseTBD)

Text isn't all you need: adventures in integrating astronomical data into large models

12:30 00:30 Jo Ciuca (ANU)

Reasoning and LLMs in astronomy