Hans Ole Hatzel

this account is inactive -- check out @hanshatzel.bsky.social

[Hans Ole Hatzel @HansHatzel]

We are announcing our shared task on narrative similarity and narrative representations. SemEval 2026 Task 4: https://t.co/jYfydWXv2C.

We invite you to benchmark LLMs, embedding models, or even test your favorite narrative formalism. Development data is now available!

[Jina AI @JinaAI_]

Search/acc⏩Probably the hottest BoF at #EMNLP2024! Nearly 100 researchers packed the room for 12 back-to-back talks on search foundation models - covering everything from code embeddings, distilled rerankers, ColPali, ColBERT, late chunking & smaller LMs. Killer lineup featuring @HansHatzel @gangi_official @Robro612 @ManuelFaysse @zhichaoxu_ir @memray0 @SFResearch and many others! Big thanks to everyone who came out and showed such enthusiasm for search foundation models! 🙌 We are looking forward to seeing you next @emnlpmeeting!

[Hans Ole Hatzel @HansHatzel]

Let’s discuss:
- How could story embeddings be useful in your work?
- Why don’t our embeddings work well for retellings?
- How can story embeddings be improved upon?

More details in the paper!

Paper: https://t.co/pg5jP9Ihfi
Github: https://t.co/TJmrpAktc1
🧵 (6/6)

[Hans Ole Hatzel @HansHatzel]

Excited to tell you all about our EMNLP paper on story embeddings! We present a novel approach for representing story summaries as embeddings. This is my first proper paper thread, so please be kind 😅

See you in Miami! 😎
🧵 (1/6)

[Hans Ole Hatzel @HansHatzel]

Our paper has plenty of experiments on measuring embedding capabilities for retrieval and exploring which aspects of story summaries our embeddings focus on. Big surprise: the embeddings perform well on ROCStories, a commonsense reasoning task.
🧵 (5/6)

[ACL 2026 @aclmeeting]

What should the ACL peer review process be like in the future? Please cast your views in this survey: https://t.co/fBGWIwXRCo by 4th Nov 2024 #NLProc @ReviewAcl

[Hans Ole Hatzel @HansHatzel]

@baohao_liao Does this refer to the "EMNLP 2024 Main" in the headline between visibility and publication date?

[WikiResearch @WikiResearch]

"Tell me again! A Large-Scale Dataset of Multiple Summaries for the Same Story" a dataset of 96k summaries across 29l stories, harvested from five language versions of Wikipedia, and annotated with metadata from Wikidata.

(Hatzel and Blemann, 2024)

https://t.co/nreZw3Mc33

[SwiftOnSecurity @SwiftOnSecurity]

It’s cool how all of YouTube is funded by lying about the security of public WiFi

[Nora Ketschik @NKetschik]

Wie wurde der vierte Tag der @DHdKonferenz grad so schön eingeläutet? CLS I und II = „die wichtigsten Sessions der Konferenz“ 🙌🏻 ich kann nicht widersprechen! Lauter spannende Vorträge von @HansHatzel @EvelynGius @BenKrautter @fotisja @janinajacke und vielen mehr #CLS #DHd

[vicki @vboykis]

As Gregor Samsa awoke one morning from uneasy dreams, he found himself rewritten in Rust for performance reasons

[Hans Ole Hatzel @HansHatzel]

@PyTorch Some native dependencies didn't compile on the target system (either due to compiler versions or native libraries). I ended up building a docker image which had everything pre-installed (based on the torchserve one); worked well but it's a bit of work. Conda is typically easier.

[Hans Ole Hatzel @HansHatzel]

@PyTorch When deploying models using torchserve you can (iirc) specify a requirements.txt but this is not feasible for large libraries with native dependencies. Are there easy ways to specify a complete environment (e.g. via conda)? I found this to be the main pain point in demo hosting.

[Hans Ole Hatzel @HansHatzel]

@debayan Yes!

Wordle 220 4/6

⬛🟨⬛🟩⬛
⬛⬛⬛🟩🟩
🟨⬛⬛⬛🟨
🟩🟩🟩🟩🟩

[Hans Ole Hatzel @HansHatzel]

@RealAAAI Not sure if this is a good way to reach out but this link and any paper from the conference seem to be unavailable (HTTP 500): https://t.co/cLPC9aX3ya

[SIGSEGV @haha_it_crashed]

posting it here to curse your timeline