Are Large Language Models Simply Causal Parrots?

Workshop @ the 38th
Annual AAAI Conference on Artificial Intelligence

February 27th, 2024 (In-Person)

Legend:

Organization

Invited Talk

Contributed Talk

Open Discussions

Time is given in PT (Pacific Time, local time zone Vancouver) meaning the start time in 24-h format is 9:00 PT which is 12:00 ET (New York), 18:00 CET (Berlin), 03:00 [+1] JST (Tokyo). The workshop has 5.5 hours worth of content with 2.5 hours of breaks spread throughout i.e., from 9:00 to 17:00 PT.

Note that the below schedule consists of in-person events that are part of the Association for the Advancement of Artificial Intelligence (AAAI) conference 2024 and therefore reserved for people registered to the conference. The accepted papers are readily available to the general public and can be found at the "Papers" page of this LLM-CP website.

Time	Speaker	Title
09:00	M. Zečević, A. Molak, D. Dhami	Organizer's Welcome & Opening Remarks
09:30	Emre Kıcıman	A New Frontier at the Intersection of Causality and LLMs [Invited Talk 1]
10:00	Everyone	Starting Discussions & Opinions
10:30		30-min. Break w/ light refreshments
11:00	Judea Pearl	Thoughts on LLM-CP
11:30	Aniket Vashishtha	Causal Inference using LLM-Guided Discovery [Contributed Talk 1]
12:00	Kai-Hendrik Cohrs	Large Language Models for Constrained-Based Causal Discovery [Contributed Talk 2]
12:30	Oscar Clivio	A critical review of Causal Inference benchmarks for Large Language Models [Contributed Talk 3]
13:00		90-min. Lunch Break
14:30	Guy Van den Broeck	Symbolic Reasoning for Large Language Models [Invited Talk 3]
15:00	Alessandro Palmarini	Comparing Humans, GPT-4, and GPT-4V On Abstraction and Reasoning Tasks [Contributed Talk 4]
15:30	Andrew Lampinen	What can be learned about causality from passive data? [Invited Talk 4]
16:00		30-min. Break w/ light refreshments
16:30	Angelika Romano	CRAB: Assessing the Strength of Causal Relationships Between Real-world Events [Contributed Talk 5]
17:00	Everyone	Reflective & Conclusive Discussions