10 citations · 10 across the 8 of their papers we have counts for
9 papers
Quantum-Classical Hybrid Methods for Optimization: Lessons from Classical Decomposition
David E. Bernal Neira
Quantum and physics-inspired solvers provide specialized sampling interfaces for Ising and quadratic unconstrained binary optimization models, but constrained optimization requires…
Forecasting Future Behavior as a Learning Task
Mosh Levy, Yoav Goldberg, Asa Cooper Stickland
Trust in an AI system is often anchored by explanations of how it works, which one then uses to forecast its behavior on new inputs. For large reasoning models (LRMs), this convent…
Compared to What? Baselines and Metrics for Counterfactual Prompting
Zihao Yang, Mosh Levy, Yoav Goldberg +1
Counterfactual prompting (i.e., perturbing a single factor and measuring output change) is widely used to evaluate things like LLM bias and CoT faithfulness. But in this work we ar…
An Independent Safety Evaluation of Kimi K2.5
Zheng-Xin Yong, Parv Mahajan, Andy Wang +12
Kimi K2.5 is an open-weight LLM that rivals closed models across coding, multimodal, and agentic benchmarks, but was released without an accompanying safety evaluation. In this wor…
State over Tokens: Characterizing the Role of Reasoning Tokens
Mosh Levy, Zohar Elyoseph, Shauli Ravfogel +1
Large Language Models (LLMs) can generate reasoning tokens before their final answer to boost performance on complex tasks. While these sequences seem like human thought processes,…
Humans Perceive Wrong Narratives from AI Reasoning Texts
Mosh Levy, Zohar Elyoseph, Yoav Goldberg
A new generation of AI models generates step-by-step reasoning text before producing an answer. This text appears to offer a human-readable window into their computation process, a…
Knowledge Navigator: LLM-guided Browsing Framework for Exploratory Search in Scientific Literature
Uri Katz, Mosh Levy, Yoav Goldberg
The exponential growth of scientific literature necessitates advanced tools for effective knowledge exploration. We present Knowledge Navigator, a system designed to enhance explor…
Same Task, More Tokens: the Impact of Input Length on the Reasoning Performance of Large Language Models
Mosh Levy, Alon Jacoby, Yoav Goldberg
This paper explores the impact of extending input lengths on the capabilities of Large Language Models (LLMs). Despite LLMs advancements in recent times, their performance consiste…
Guiding LLM to Fool Itself: Automatically Manipulating Machine Reading Comprehension Shortcut Triggers
Mosh Levy, Shauli Ravfogel, Yoav Goldberg
Recent applications of LLMs in Machine Reading Comprehension (MRC) systems have shown impressive results, but the use of shortcuts, mechanisms triggered by features spuriously corr…