Juri Opitz
@nlopitz.bsky.social
📤 55
📥 38
📝 5
Researcher at University of Zurich
https://www.juriopitz.com/
LLMs can't parse (yet) --- New Blog Post!
juriopitz.com/2025/08/26/l...
loading . . .
LLMs can’t parse (yet)
LLMs can’t parse (yet)
https://juriopitz.com/2025/08/26/llm-parsing-amr
8 months ago
0
0
0
Happy to share that my amazing co-authors will be presenting some of our recent work at ACL 2025 next week! If you’re interested in these topics please feel free to drop by and connect. (Paper links in comments 👇)
9 months ago
1
2
0
reposted by
Juri Opitz
Kyle Mahowald
about 1 year ago
I might be able to hire a postdoc for this fall in computational linguistics at UT Austin. Topics in the general LLM + cognitive space (particularly reasoning, chain of thought, LLMs + code) and LLM + linguistic space. If this could be of interest, feel free to get in touch!
0
60
32
reposted by
Juri Opitz
Rachele Sprugnoli
about 1 year ago
Applications are now open for the graduate programme in "Linguistic Computing" at UniversitĂ Cattolica del Sacro Cuore!
#Milan
#NLProc
#artificalintelligence
www.unicatt.it/en/programme...
0
2
4
reposted by
Juri Opitz
Nathan Schneider
about 1 year ago
Our survey highlights the enduring influence of linguistics on
#NLProc
. We emphasize 6 facets: Resources, Evaluation, Low-resource settings, Interpretability, Explanation, and the Study of language.
add a skeleton here at some point
0
38
7
Happy to share that our paper, "Natural Language Processing RELIES on Linguistics," will appear in Computational Linguistics! Preprint:
arxiv.org/abs/2405.05966
about 1 year ago
0
19
7
reposted by
Juri Opitz
Sumit
about 1 year ago
Interpretable Text Embeddings and Text Similarity Explanation: A Primer Provides a comprehensive overview of methods for explaining text embeddings and similarity scores, covering space shaping, set-based, and attribution approaches. 📝
arxiv.org/abs/2502.14862
loading . . .
Interpretable Text Embeddings and Text Similarity Explanation: A Primer
Text embeddings and text embedding models are a backbone of many AI and NLP systems, particularly those involving search. However, interpretability challenges persist, especially in explaining obtaine...
https://arxiv.org/abs/2502.14862
0
10
3
Hello 🦋!
#nlproc
#compling
#machinelearning
about 1 year ago
0
1
0
you reached the end!!
feeds!
log in