activity
20202026
most citedLearnable Optimal Sequential Grouping for Video Scene Detection

12 citations · 14 across the 10 of their papers we have counts for

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Showing 2026Show all

8 papers · 1 filter

cs.NE2026

LLM Evolutionary Search Strategies Should be Compared by Tokens

Tal Oved, Roi Pony, Oshri Naparstek +1

LLM evolutionary search is currently evaluated by counting proposals (candidate programs). We demonstrate this metric hides the true cost of search, and redo the comparison using t…

cs.SE2026

Spotlights: Discovering Improvement Opportunities in Software Repositories

Udi Barzelay, Ophir Azulai, Idan Friedman +9

Coding agents and evolutionary code-search systems can improve implementations once a target and evaluation criterion have been specified. Applying these methods to an existing sof…

cs.CL2026

Evolution or Illusion? Rethinking Evaluation in LLM Evolutionary Search

Tal Oved, Roi Pony, Oshri Naparstek +1

LLM-driven evolutionary search finds programs by launching seeds and iterating each one. Papers report a single budget setting, usually one seed run for a fixed number of iteration…

cs.LG2026

Optimize Cheap, Deploy Strong: Cost-Aware Cross-Tier Transfer for Evolutionary Optimization

Tal Oved, Roi Pony, Oshri Naparstek +1

Evolutionary optimization of LLM prompts and agentic programs (e.g., GEPA) is dominated by fitness evaluation: scoring each candidate runs an answering LLM over a validation set, s…

cs.IR2026

FLASH-MAXSIM: IO-Aware Fused Kernels for Late-Interaction Retrieval

Roi Pony, Daniel Ezer, Adi Raz Goldfarb +3

Late-interaction retrieval (ColBERT, ColPali) scores a query against a document via the MaxSim operator. The standard PyTorch implementation materialises the full query-token $\tim…

cs.CV2026

Is the Modality Gap a Bug or a Feature? A Robustness Perspective

Rhea Chowers, Oshri Naparstek, Udi Barzelay +1

Many modern multi-modal models (e.g. CLIP) seek an embedding space in which the two modalities are aligned. Somewhat surprisingly, almost all existing models show a strong modality…

cs.CV2026

VAREX: A Benchmark for Multi-Modal Structured Extraction from Documents

Udi Barzelay, Ophir Azulai, Inbar Shapira +4

We introduce VAREX (VARied-schema EXtraction), a benchmark for evaluating multimodal foundation models on structured data extraction from government forms. VAREX employs a Reverse…

cs.IR2026

Col-Bandit: Query-Time Top- Estimation for Late-Interaction Retrieval

Roi Pony, Adi Raz Goldfarb, Oshri Naparstek +3

Multi-vector late-interaction retrievers such as ColBERT achieve state-of-the-art quality, but their query-time cost is dominated by exhaustively computing token-level MaxSim inter…