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All SourcesarXiv
#hard negatives

Rethinking Composed Image Retrieval Evaluation: A Fine-Grained Benchmark from Image Editing

Intermediate
Tingyu Song, Yanzhao Zhang et al.Jan 22arXiv

This paper introduces EDIR, a new and much more detailed test for Composed Image Retrieval (CIR), where you search for a target image using a starting image plus a short text change.

#Composed Image Retrieval#EDIR#fine-grained benchmark

CGPT: Cluster-Guided Partial Tables with LLM-Generated Supervision for Table Retrieval

Intermediate
Tsung-Hsiang Chou, Chen-Jui Yu et al.Jan 22arXiv

This paper introduces CGPT, a way to help computers find the right tables by building smarter mini-versions of tables and training with tough practice questions.

#table retrieval#synthetic query generation#cluster-guided partial tables

Lost in the Noise: How Reasoning Models Fail with Contextual Distractors

Intermediate
Seongyun Lee, Yongrae Jo et al.Jan 12arXiv

The paper shows that when we give AI lots of extra text, even harmless extra text, it can get badly confused—sometimes losing up to 80% of its accuracy.

#NoisyBench#Rationale-Aware Reward#RARE

C2LLM Technical Report: A New Frontier in Code Retrieval via Adaptive Cross-Attention Pooling

Beginner
Jin Qin, Zihan Liao et al.Dec 24arXiv

C2LLM is a new family of code embedding models that helps computers find the right code faster and more accurately.

#code retrieval#embedding model#cross-attention pooling