DSPy 3.4.0 out, with: (1) native support for Jev and System One models - in the timeless DSPy syntax. (2) a brand new optimizer, ReAnchor, specifically for calibrating outputs with confidence. (3) lightning-fast import speeds for the LLM abstraction, via sibling library LM15)

SmallReason-ColBERT: An Ultra-Small Late-Interaction Retriever for Reasoning Intensive Retrieval @perdactor et al. present a 32M retriever for reasoning-heavy queries, adding a learned token-weighting head. 📝arxiv.org/abs/2609.29652 👨🏽‍💻github.com/DataScienceUIBK/S…

OBLIQ-IR: Training a Dense Retriever for Oblique Queries @perdactor et al. train a dense retriever for oblique queries, where relevance depends on latent traits like stance or style rather than topic overlap. 📝 arxiv.org/abs/2609.29649 👨🏽‍💻 github.com/DataScienceUIBK/o…

EXCISE: Query-Side Exclusion for Late-Interaction Retrieval Presents a query-time fix for "exclusion inversion" in ColBERT retrievers, where excluded topics get ranked higher, not lower. 📝 arxiv.org/abs/2608.05497

imo a significant part of the problem is the insistence of the community on misnaming the paradigm as “multi-vector retrieval”, we called it late interaction for a reason the problem isn’t in having one vector; the problem is in the scoring function! piped.video/Z2TmdcylyEc?si=hrtq…

most interesting thing happening rn is that you are allowed to use ai for everything. everything except writing. if you use ai for writing, they will unalive you in public

🎉 Our lab has 10 papers accepted at #EMNLP2026 — 9 Main Conference + 1 Findings! This is ~1.5 years of work, and almost none of it landed on the first try. Several of these papers went through 4–6 submission cycles before they were accepted. Rejection was part of the process, not the end of it. Main Conference 1️⃣ OBLIQ-IR: Training a Dense Retriever for Oblique Queries Mahmoud Abdalla, 𝗔𝗯𝗱𝗲𝗹𝗿𝗮𝗵𝗺𝗮𝗻 𝗔𝗯𝗱𝗮𝗹𝗹𝗮𝗵, Shaimaa Sedek, Adam Jatowt 📄 Coming soon · 💻 Coming soon 2️⃣ MEMORA: A Memory-Enhanced Multimodal Committee Reranking Agent for Reasoning-Intensive Retrieval Mohamed Mahmoud, Mostafa Farouk Senussi, Mahmoud Abdalla, Mahmoud SalahEldin Kasem, 𝗔𝗯𝗱𝗲𝗹𝗿𝗮𝗵𝗺𝗮𝗻 𝗔𝗯𝗱𝗮𝗹𝗹𝗮𝗵, Hyun Soo Kang 📄 Coming soon · 💻 Coming soon 3️⃣ SustainableQA: A Comprehensive Question Answering Dataset for Corporate Sustainability and EU Taxonomy Reporting Mohammed Ali, 𝗔𝗯𝗱𝗲𝗹𝗿𝗮𝗵𝗺𝗮𝗻 𝗔𝗯𝗱𝗮𝗹𝗹𝗮𝗵, Adam Jatowt 📄 arxiv.org/abs/2508.03000 · 💻 github.com/DataScienceUIBK/S… 4️⃣ TEMPO: Realistic Multi-Domain Benchmark for Temporal Reasoning-Intensive Retrieval 𝗔𝗯𝗱𝗲𝗹𝗿𝗮𝗵𝗺𝗮𝗻 𝗔𝗯𝗱𝗮𝗹𝗹𝗮𝗵, Mohammed Ali, Muhammad Abdul-Mageed, Adam Jatowt 📄 arxiv.org/abs/2601.09523 · 🌐 tempo-bench.github.io 5️⃣ Argus-Retriever: Vision-LLM Late-Interaction Retrieval with Region-Aware Query-Conditioned MoE for Visual Document Retrieval 𝗔𝗯𝗱𝗲𝗹𝗿𝗮𝗵𝗺𝗮𝗻 𝗔𝗯𝗱𝗮𝗹𝗹𝗮𝗵, Mahmoud Abdalla, Mohammed Ali, Adam Jatowt 📄 arxiv.org/abs/2606.04300 · 💻 github.com/DataScienceUIBK/A… 6️⃣ Large Language Models Systematically Favor Popular Options: Evidence and Mitigation Across MCQs 𝗔𝗯𝗱𝗲𝗹𝗿𝗮𝗵𝗺𝗮𝗻 𝗔𝗯𝗱𝗮𝗹𝗹𝗮𝗵, Mohammed Ali, Bhawna Piryani, Mahmoud Abdalla, Adam Jatowt 📄 Coming soon · 💻 Coming soon 7️⃣ SmallReason-ColBERT: An Ultra-Small Late-Interaction Retriever for Reasoning-Intensive Retrieval 𝗔𝗯𝗱𝗲𝗹𝗿𝗮𝗵𝗺𝗮𝗻 𝗔𝗯𝗱𝗮𝗹𝗹𝗮𝗵, Mohammed Ali, Adam Jatowt 📄 Coming soon · 💻 Coming soon 8️⃣ MoCA-Agent: A Market-of-Claims Code Agent for Financial and Numerical Reasoning 𝗔𝗯𝗱𝗲𝗹𝗿𝗮𝗵𝗺𝗮𝗻 𝗔𝗯𝗱𝗮𝗹𝗹𝗮𝗵, AbdelRahim A. Elmadany, Sameh Al Natour, Hasan Cavusoglu, Adam Jatowt, Muhammad Abdul-Mageed 📄 arxiv.org/abs/2606.11537 · 💻 github.com/UBC-NLP/MoCA-Agen… 9️⃣ The Magnitude Mirage: Rethinking Confidence for Reasoning-Intensive Retrieval Jamie Holdcroft, 𝗔𝗯𝗱𝗲𝗹𝗿𝗮𝗵𝗺𝗮𝗻 𝗔𝗯𝗱𝗮𝗹𝗹𝗮𝗵, Adam Jatowt 📄 Coming soon · 💻 Coming soon Findings 🔟 REGREACT: Self-Correcting Multi-Agent Pipelines for Structured Regulatory Information Extraction Mohammed Ali, 𝗔𝗯𝗱𝗲𝗹𝗿𝗮𝗵𝗺𝗮𝗻 𝗔𝗯𝗱𝗮𝗹𝗹𝗮𝗵, Adam Jatowt 📄 arxiv.org/abs/2604.12054 · 💻 Coming soon Huge congratulations to everyone in the lab, and thanks to our supervisor @adammo . To anyone sitting on a pile of rejections right now: keep resubmitting. It works. 🙏

Argus-Retriever: Vision-LLM Late-Interaction Retrieval with Region-Aware Query-Conditioned MoE for Visual Document Retrieval Introduces a query-conditioned late-interaction visual document retriever. 📝 arxiv.org/abs/2606.04300 👨🏽‍💻 github.com/DataScienceUIBK/A…

Thrilled to share two paper acceptances! 🎉 📄 MM-BRIGHT — Multimodal Benchmark for Reasoning-Intensive Retrieval → #KDD2026 🛠️ Rankify — Python toolkit for Retrieval, Re-Ranking & RAG (670+ ⭐) → #ACL2026 Demo Thanks to @ supervisor & collaborators 🚀 #NLP #RAG #IR

another late interaction w

For the people not on Reddit, yesterday ICLR desk-rejected an accepted oral paper from a US-sanctioned institution. The conference is in 4 days; this could probably have been done better. openreview.net/forum?id=w2tn…

I am happy to announce that this week was great news. 2 accept paper main ACL 2026 1 findings ACL 2026 1 Sigir 2026 #acl #acl2026 #sigir

The paper acceptance notifications will be out by the 6th of April, AoE. The PCs are working hard throughout the holiday season to finalize the decisions. Apologies for the delay!