
Lorenzo Loconte
@loreloc_
PhD Student @ University of Edinburgh
ID: 842429899348541441
https://loreloc.github.io 16-03-2017 17:38:34
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516 Followers
1,1K Following





Our paper "Low-rank finetuning for LLMs is inherently unfair" won a ๐๐๐ฌ๐ญ ๐ฉ๐๐ฉ๐๐ซ ๐๐ฐ๐๐ซ๐ at the AAAI colorai workshop! #AAAI2025 Congratulations to amazing co-authors Nando Fioretto Saswat Das Cuong Tran and M. Romanelli ๐ฅณ๐ฅณ๐ฅณ


Chaitanya K. Joshi Ben Finkelshtein Fabrizio Frasca Michael Bronstein Bryan Perozzi Michael Galkin Christopher Morris hi, we found problematic benchmarks in complex query answering as well! arxiv.org/abs/2410.12537 antonio vergari โ๏ธ not at #ICML2025 Mathias Niepert Cosimo Gregucci@ICML Christopher Morris Michael Galkin

๐จNew at #ICLR: we introduce the first ever ๐ฅ๐๐ฒ๐๐ซย that makesย ๐๐ง๐ฒย neural networkย ๐๐จ๐ฆ๐ฉ๐ฅ๐ข๐๐ง๐ญ ๐๐ฒ ๐๐๐ฌ๐ข๐ ๐ง with constraints expressed asย ๐๐ข๐ฌ๐ฃ๐ฎ๐ง๐๐ญ๐ข๐จ๐ง๐ฌ ๐จ๐ ๐ฅ๐ข๐ง๐๐๐ซ ๐ข๐ง๐๐ช๐ฎ๐๐ฅ๐ข๐ญ๐ข๐๐ฌโeven if they defineย ๐ง๐จ๐ง-๐๐จ๐ง๐ฏ๐๐ฑ ๐ฌ๐ฉ๐๐๐๐ฌ!



In LoCo-LMs, we propose a neuro-symbolic loss function to fine-tune a LM to acquire logically consistent knowledge from a domain graph, i.e. wrt. to a set of logical consistency rules. Stefano Teso antonio vergari โ๏ธ not at #ICLR2025 arxiv.org/abs/2409.13724

Just under 10 days left to submit your latest endeavours in โก#tractableโก probabilistic modelsโ Join us at TPM เธขเธฑเธขเธเธฑเธงเธฃเนเธฒเธข auai.org #UAI2025 and show how to build #neurosymbolic / #probabilistic AI that is both fast and trustworthy!


๐งตWhy are linear properties so ubiquitous in LLM representations? We explore this question through the lens of ๐ถ๐ฑ๐ฒ๐ป๐๐ถ๐ณ๐ถ๐ฎ๐ฏ๐ถ๐น๐ถ๐๐: โAll or None: Identifiable Linear Properties of Next-token Predictors in Language Modelingโ Published at #AISTATS2025๐ด 1/9


Spotlight poster coming soon at #ICML2025 ICML Conference! ๐East Exhibition Hall A-B E-1806 ๐๏ธWed 16 Jul 4:30 p.m. PDT โ 7 p.m. PDT ๐arxiv.org/pdf/2410.12537 Letโs chat! Iโm always up for conversations about knowledge graphs, reasoning, neuro-symbolic AI, and benchmarking.

