Ali Modarressi
@amodarressi.bsky.social
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📥 102
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PhD student, NLP Researcher at
@cislmu.bsky.social
| Prev. Intern
@Adobe.com
reposted by
Ali Modarressi
Leonie Weissweiler
15 days ago
🧑🔬I’m recruiting PhD students in Natural Language Processing
@unileipzig.bsky.social
Computer Science, together with
@scadsai.bsky.social
! Topics include, but aren’t limited to: 🔎Linguistic Interpretability 🌍Multilingual Evaluation 📖Computational Typology Please share!
#NLProc
#NLP
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reposted by
Ali Modarressi
Barbara Plank
about 2 months ago
CIS & MaiNLP Group picture at EMNLP 2025! 🤩 🤗 (1/3) While I sadly 🥲 won't be at EMNLP this year myself, please do reach out to any of our members for a chat if you are interested in our research! We also co-organize and participate in some great workshops at EMNLP:
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Excited to be here in Suzhou for
#EMNLP2025
! I’ll be presenting “ImpliRet”, check out our poster on Friday Nov. 7th at 14:00. If you’re into long-context, IR, or just want to chat, come *Pay Ali* a visit 😁 Link to thread:
x.com/zeinabtaghav...
about 2 months ago
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Leaving Vancouver after ICML’s closing fireworks 😁🎆 Heading to Toronto for a few days, then off to
@aclmeeting.bsky.social
to present: "Collapse of Dense Retrievers" A work by
@mohsen-fayyaz.bsky.social
that I was fortunate to collaborate on. Also co-presenting two other papers…🧵 [1/4]
add a skeleton here at some point
5 months ago
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I’ll be at
@icmlconf.bsky.social
next week presenting NoLiMa! Poster on Tue July 15, 4:30–7pm (E-2312). Happy to grab a coffee and chat about long-context, memory, research, or just to catch up. I’ll be in Toronto for a couple of days after the conference, let me know if you’re around!
6 months ago
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reposted by
Ali Modarressi
TMLR Published Papers
7 months ago
MemLLM: Finetuning LLMs to Use Explicit Read-Write Memory Ali Modarressi, Abdullatif Köksal, Ayyoob Imani, Mohsen Fayyaz, Hinrich Schuetze Action editor: Greg Durrett
https://openreview.net/forum?id=dghM7sOudh
#memory
#memorizing
#memllm
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📄 Collapse of Dense Retrievers Accepted to
#ACL2025
main conference 🎉🎉 In this paper we uncover major vulnerabilities in dense retrievers like Contriever, showing they favor: 📌 Shorter docs 📌 Early positions 📌 Repeated entities 📌 Literal matches ...all while ignoring the answer's presence!
7 months ago
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