Tiansi Dong

Researcher at the Alan Turing Institute & visiting fellow at Computer Lab University of Cambridge

[Tiansi Dong @DongTiansi]

“Neural Reasoning” workshop, https://t.co/uUESFfYU1w 2026, 3月23日至24日，英国剑桥，欢迎交流

[Tiansi Dong @DongTiansi]

Keynote speech 一 “Exploring Semantics in the Age of Large Language Models“ at NeusymBridge Workshop@AAAI’26 on Jan 26, Singapore. https://t.co/kmHlWsfoIT

[Tiansi Dong @DongTiansi]

The Workshop on “Neural Reasoning for Scientific and Mathematical Discovery” will take place from March 23 to 24, 2026 at Department of Computer Science and Technology, University of Cambridge.

https://t.co/MZACgbTlf9

Registration is open now. 

https://t.co/5J99A0b6AS

[Tiansi Dong @DongTiansi]

Rigorous syllogistic reasoning serves as the watershed separating irrational from rational reasoning systems. Data-driven neural networks, including LLMs, are clearly located on the left side.

https://t.co/NFkDzK1EzC

[Regina Zhang @Regina4Sci]

A survey on LLM-driven time series https://t.co/iJQNmK81I1

[Tiansi Dong @DongTiansi]

The third NeusymBridge workshop will be held at AAAI 2026 on Jan 26 in Singapore. https://t.co/sU3KZen65r

[Tiansi Dong @DongTiansi]

Four methodological limitations prevent machine learning systems from reaching the rigour of logical reasoning. They cannot, not because of insufficient training data. On the contrary, to achieve the rigour, they shall not use training data.

https://t.co/meIgqp4rXP

[Tiansi Dong @DongTiansi]

Neural Reasoning and Mathematical Discovery – An Interdisciplinary Two-Way Street (NeurMAD@AAAI’25)

https://t.co/uUESFfYmbY

[Tiansi Dong @DongTiansi]

#NewProfilePic

[Xin Eric Wang ✈️ CVPR 2026 @xwang_lk]

Reviewer 2: ACL is not an AI conference. Reject.

[Tiansi Dong @DongTiansi]

With Spatial Intelligence, AI Will Understand the Real World | Fei-Fei L... https://t.co/V7ZieNmg2t via @YouTube

[Tiansi Dong @DongTiansi]

Sphere Neural Networks
(SphNNs) signify innovative qualitative enhancement to endow LLMs with the capability for high-level cognition.
https://t.co/JDgtUP7p1y #RationalReasoning #CognitiveModeling #Human-likeReasoning #Neuro-SymbolicAI #goatai #goatstack via @GoatstackAI

[Carter Leffen @carterleffen]

Sphere Neural-Networks (SphNNs) ... imbuing neural networks with capabilities for more complex and deterministic forms of reasoning, including syllogistic reasoning—a foundational element of human rationality.

https://t.co/Cp8JONS407

[Yann LeCun @ylecun]

Current LLMs are trained on text data that would take 20,000 years for a human to read.
And still, they haven't learned that if A is the same as B, then B is the same as A.
Humans get a lot smarter than that with comparatively little training data.
Even corvids, parrots, dogs, and octopuses get smarter than that very, very quickly, with only 2 billion neurons and a few trillion "parameters."

[Lamarr Institute @LamarrInstitute]

The 🆕 report of the @dagstuhl seminar "Structure and Learning" in #AI, organized by #ML2R researcher @DongTiansi (@UniBonn), is now available online!
Learn more about the integration of symbolic & numeric #inference from an interdisciplinary perspective: https://t.co/CCf7Ulh1W5

[ScaDS.AI Dresden/Leipzig @Sca_DS]

We had 3 great days at our #AutumnSchool with amazing people and fascinating talks about #AI, #BigData, #MachineLearning... Thank you for your participation🙏🏽See you next year!👀
@tudresden_de @zih_tud @LabSchaufler
@UniLeipzig @DRESDEN_concept @DongTiansi @SteffenZeuch @helgeho

[Gary Marcus @GaryMarcus]

Want to know why it's risky to assume that your ML is going to continue work if the test regime changes from your training data? Just ask Zillow.

https://t.co/EUH71gZspy

[ScaDS.AI Dresden/Leipzig @Sca_DS]

We are happy to welcome another selected keynote speaker, @DongTiansi @UniBonn @MLCompetence, at our #AutumnSchool in two weeks!

Click here to register for free:
👉https://t.co/wu0p6S1Vkx
@tudresden_de @zih_tud @UniLeipzig @RALeipzig #NHR @InfAI_eV @futureSAX @DRESDEN_concept

[Lamarr Institute @LamarrInstitute]

#BoxingDay is: now!📦
🗣️ Our #ML2R #AutumnSchool kicks off today at 9.30 a.m. CEST. During this week, over 30 selected #MachineLearning enthusiasts (10 countries) will work & learn together to apply their #ML solutions to a concrete #BinPacking problem.
ℹ️ https://t.co/4jtcFq0A13

[Sven Behnke @SvenBehnke]

The second and last testing day at the ANA Avatar Xprize Challenge Semifinals also went very well. We may have received even more points than yesterday.
https://t.co/rYfZ1Rvq24