MultiHop-RAG: Benchmarking Retrieval-Augmented Generation for Multi-Hop Queries (2024 · 105 citations)
Most retrieval-augmented generation (RAG) evaluation uses questions that a single passage can answer. Real users often need several documents combined, for example to compare firms, order events in time, or draw inferences across sources. Existing benchmarks such as RGB and RECALL do not test this. The authors…
KV-Embedding: Training-free Text Embedding via Internal KV Re-routing in Decoder-only LLMs (2026 · 1 citation)
Decoder-only LLMs can serve as embedding models without fine-tuning, but two architectural issues hold them back.
Iterative Self-Correction for Text-Driven Person Re-Identification with Large Vision-Language Models (2026)
The paper addresses person re-identification (ReID), where systems that use vision-language models usually turn a query image into a description once and then retrieve with it.
Reasoning Hijacking: The Fragility of Reasoning Alignment in Large Language Models (2026)
Most work on prompt-injection security targets Goal Hijacking, where injected text tries to replace an application's task.

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Updated 1 November 2026