OBLIQ and a Call for More Ambitious Search Benchmarks Shaped IR at VLDB
CShorten30 · x · 2026-09-04
A retweet highlighting @lateinteraction's VLDB talk on Information Retrieval in 2030, centering on the OBLIQ project and a call for more ambitious search benchmarks, plus enthusiasm for progress in late interaction engines.
More from Research
- CHIVE paper: evaluating LLM behavior explanations in the wild with counterfactual experiments — a_karvonen · 2026-09-05
- Cross-model training matches self-training: Qwen learns from Llama investigations without privileged access — a_karvonen · 2026-09-05
- Self-explanation training generalizes beyond narrow hint formats to held-out evals — a_karvonen · 2026-09-05
- Two training targets from behavior investigations: counterfactual predictions and open-ended self-explanations — a_karvonen · 2026-09-05
- Anthropic Fellows train models to explain their own wild behaviors with generalization to held-out evals — a_karvonen · 2026-09-05
- Deep Learning Weekly #471: Claude Fable 5.1 launch, production-parity LLM evals, alignment paper — dl_weekly · 2026-09-05