Current KGFMs ignore the rich textual signals, mostly present in KGs, and focus only on structure. We show that relation text similarity acts as a transferable invariance. Enriching it with LLMs unlocks stronger generalization ๐
Check the thread below for more on our new work!
Does text help KG Foundation Models generalize better? ๐ค
Yes (and no)! โฏ๏ธ
Bootstrapped by LLMs improving KG relation labels, we show that textual similarity between relations can act as an invariance - helping generalization across datasets! ๐งต๐
SEMMA is now accepted at #EMNLP2025 Main! We worked very hard on this paper, and I had a great time collaborating with @arvindh__a@BoXiongs@MojtabaNayyeri@tetraduzione@ponguru and Steffan. Feels great to have my first co-author paper get accepted at such a great venue!
SEMMA (transliteration of เฎเฏเฎฎเฏเฎฎ - meaning awesome), my first PhD work, is accepted to #EMNLP2025 Main!
I also found out today that SEMMA has the (tied) highest average reviewer score in this ARR cycle ๐ช
๐: https://t.co/mhb6ecROz9
@michael_galkin@arvindh__a@tetraduzione@BoXiongs Additionally, SEMMAโs textual component can be integrated with KG-ICL ๐, considered a more expressive structural baseline that leverages few-shot prompt graphs specific to each query.
@michael_galkin@arvindh__a@tetraduzione@BoXiongs Thank you for the pointers!
KG-ICL is strong but needs few-shot examples per relation at test time, whereas SEMMA is truly zero-shot (Sec 5.4, App F). Computationally, KG-ICLโs preprocessing scales with # prompt graphs and # relations; SEMMA is linear w.r.t. relations (App D).
๐ขTejasvi's #MSThesisDefense "Personal Narratives in Online Political Discussions"
Thesis๐ https://t.co/aWQDbnYmzr
Papers๐
(0) https://t.co/B0gcRQE3ZM
(1) https://t.co/imdxkNkTPf
๐3:30PM IST, 19th May
๐พ Flyer
#OpenToAll anybody can attend the #Defense#ProfGiri
โฝ๏ธ๐ An action-packed #Telangana State Inter-Engineering College Tournament 2025 held @iiit_hyderabad. We had matches in #Basketball (Men & Women) & #Football (Men)! Congrats to all the winners & participants! ๐ organization by the PEC & Team. #SportsatIIITH#ProfGiri ๐ ๐
๐๐๐ข Can LMs not just generate solutions but also falsify incorrect ones? Falsification is key to reliable reasoning. Top models (o3-mini, R1) find counterexamples for <9% of wrong solutions in our new benchmark - REFUTE! Oral @iclr_conf Self-Improving workshop (top 6!) ๐งต๐
AI can generate correct-seeming hypotheses (and papers!). Brandolini's law states BS is harder to refute than generate. Can LMs falsify incorrect solutions? o3-mini (high) scores just 9% on our new benchmark REFUTE. Verification is not necessarily easier than generation ๐งต
The first research project of which I was part is out! Absolutely thrilled to have been part of this project. This has been such a huge learning experience!
Unlearning memories ftw ๐
Check out the thread below for more details.
How do we remove the effect of incorrect training data on a trained model? Is retraining from scratch the best we can do?
We show no! Cognac ๐ท is 8x faster than retraining from scratch, and works even when you discover as little as 5% of such data.
How? ๐งต๐
Interested in reading ๐ (open to all), discussing ๐ฃ๏ธ๐ฃ๏ธ papers? ๐ Thrilled to share our ๐ #paper reading schedule for #Spring 2025!
Join the list to get online login details https://t.co/rFUOHjUBNZ
Full schedule https://t.co/pddplUWRMh #Brainstorm#ProfGiri
๐๐ฅณ #PrecogTurns14 ๐๐ฅณ Introducing new avatar of our website ๐ฑ 1st revamp in 14 yrs ๐ฑ Curious about what keeps us awake at night? https://t.co/7bbIi58YrR Shoutout to @akshitwt for nudging. ๐ @jswarang12 @VictorKnox99 @vnnm404 & JP garu for helping. #PrecogsRockย ๐ #ProfGiri
๐ Applications Open! ๐ Stage 1 registrations of India AI Olympiad (INAIO), live now! https://t.co/oO4tnAe5MY Looking forward to seeing some amazing participation. Thanks ๐๐ฝ๐๐ฝ for spreading the word!ย #AIOlympiad#INAIO#ACMIndia#IKDD#VPGiri