activity
20202026
most citedChaI-TeA: A Benchmark for Evaluating Autocompletion of Interactions with LLM-based Chatbots

1 citations · 2 across the 6 of their papers we have counts for

collaborators

7 papers

cs.LG2026

Knowing When to Quit: A Principled Framework for Dynamic Abstention in LLM Reasoning

Hen Davidov, Nachshon Cohen, Oren Kalinsky +4

LLMs utilizing chain-of-thought reasoning often waste substantial compute by producing long, incorrect responses. Abstention can mitigate this by withholding outputs unlikely to be…

cs.CL2024★ 1 cited

ChaI-TeA: A Benchmark for Evaluating Autocompletion of Interactions with LLM-based Chatbots

Shani Goren, Oren Kalinsky, Tomer Stav +6

The rise of LLMs has deflected a growing portion of human-computer interactions towards LLM-based chatbots. The remarkable abilities of these models allow users to interact using l…

cs.IR2024

Evaluating D-MERIT of Partial-annotation on Information Retrieval

Royi Rassin, Yaron Fairstein, Oren Kalinsky +4

Retrieval models are often evaluated on partially-annotated datasets. Each query is mapped to a few relevant texts and the remaining corpus is assumed to be irrelevant. As a result…

cs.DS2021

General Knapsack Problems in a Dynamic Setting

Yaron Fairstein, Ariel Kulik, Joseph +2

The world is dynamic and changes over time, thus any optimization problem used to model real life problems must address this dynamic nature, taking into account the cost of changes…

cs.DS2020

Online Virtual Machine Allocation with Predictions

Niv Buchbinder, Yaron Fairstein, Konstantina Mellou +3

The cloud computing industry has grown rapidly over the last decade, and with this growth there is a significant increase in demand for compute resources. Demand is manifested in t…

cs.DS2020★ 1 cited

Modular and Submodular Optimization with Multiple Knapsack Constraints via Fractional Grouping

Yaron Fairstein, Ariel Kulik, Hadas Shachnai

A multiple knapsack constraint over a set of items is defined by a set of bins of arbitrary capacities, and a weight for each of the items. An assignment for the constraint is an a…

cs.DS2020

An Almost Optimal Approximation Algorithm for Monotone Submodular Multiple Knapsack

Yaron Fairstein, Ariel Kulik, Joseph +3

We study the problem of maximizing a monotone submodular function subject to a Multiple Knapsack constraint. The input is a set of items, each has a non-negative weight, and a…