Okay so, we just found that over 50 papers published at @Neurips 2025 have AI hallucinations
I don't think people realize how bad the slop is right now
It's not just that researchers from @GoogleDeepMind, @Meta, @MIT, @Cambridge_Uni are using AI - they allowed LLMs to generate hallucinations in their papers and didn't notice at all.
It's insane that these made it through peer review👇
🎄 PyTerrier Advent 10/25: Dense retrieval often improves with pseudo-relevance feedback (Rocchio-style).
In PyTerrier_DR it’s easy: retrieve docs, a transformer to mix doc vectors w/ the query vector, and re-retrieve.
https://t.co/NxQJYUcTIf
RA job in @ir_glasgow on an EU Horizon project, with @iadh@richardm_ and myself, on the use of LLMs in developing AI agents for the risk and ESG (Environmental, Social and Governance) assessment of sustainability-focused green investment projects. 👇
🎉 Excited to share the list of our @IELabGroup papers accepted at #SIGIR2025@ACMSIGIR! Topics include efficiency in IR, domain-specific IR (SysRev, podcast), screenshot retrievers, hallucination detection, and more. See you in Padua 🇮🇹!
Details coming soon, stay tuned!
Pseudo-Relevance Feedback Can Improve Zero-Shot LLM-Based Dense Retrieval
@hanglics et al. show how LLMs can extract features from top-ranked documents, enabling smaller rankers with PRF to match larger rankers without PRF.
📝https://t.co/nzm9p1BYS2
Rank-R1: Enhancing Reasoning in LLM-based Document Rerankers via Reinforcement Learning
@ShengyaoZhuang et al. introduce a LLM-based reranker that performs reasoning over queries and candidate documents before ranking.
📝https://t.co/ptj5wHqfip
We introduce Rank-R1, an LLM-based document reranker featured with reasoning abilities. Joint work with @xueguang_ma@bevan_koopman@lintool@guidozuc
Check out the paper: https://t.co/vCWqFJ5xt0
and we open-sourced model checkpoints and our code at:
https://t.co/V1KuXrpQga
📣 📣 The #sigir2025 LiveRAG Challenge is open at:
https://t.co/1lgSaMoXTk
Prizes:
- First Prize: $5000
- Second Prize: $3000
- Third Prize: $2000
Deadlines:
- Application submission deadline: February 24, 2025
More info? Ask [email protected].
Anyone who thinks DeepSeek just came out of nowhere should see this graph.
For each model on this graph, weights, code, and detailed papers were released.
This is a team with a strong track record and has been working hard for a while. They didn't come out of nowhere.
Sharing this gem with the world, unearthed while cleaning out personal files: History of open-source IR systems, dating to 1985 with the release of SMART (yes, 40 years ago), and even further back! https://t.co/mu2i3RkZkG