Academic

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Academic · 1 min

From Logs to Language: Learning Optimal Verbalization for LLM-Based Recommendation in Production

arXiv:2602.20558v1 Announce Type: new Abstract: Large language models (LLMs) are promising backbones for generative recommender systems, yet a key challenge remains underexplored: verbalization, i.e., converting …

Yucheng Shi, Ying Li, Yu Wang, Yesu Feng, Arjun Rao, Rein Houthooft, Shradha Sehgal, Jin Wang, Hao Zhen, Ninghao Liu, Linas Baltrunas

19 views Mar 2

Academic · 1 min

CausalReasoningBenchmark: A Real-World Benchmark for Disentangled Evaluation of Causal Identification and Estimation

arXiv:2602.20571v1 Announce Type: new Abstract: Many benchmarks for automated causal inference evaluate a system's performance based on a single numerical output, such as an Average …

Ayush Sawarni, Jiyuan Tan, Vasilis Syrgkanis

22 views Mar 2

Academic · 1 min

Physics-based phenomenological characterization of cross-modal bias in multimodal models

arXiv:2602.20624v1 Announce Type: new Abstract: The term 'algorithmic fairness' is used to evaluate whether AI models operate fairly in both comparative (where fairness is understood …

Hyeongmo Kim, Sohyun Kang, Yerin Choi, Seungyeon Ji, Junhyuk Woo, Hyunsuk Chung, Soyeon Caren Han, Kyungreem Han

35 views Mar 2

Academic · 1 min

When can we trust untrusted monitoring? A safety case sketch across collusion strategies

arXiv:2602.20628v1 Announce Type: new Abstract: AIs are increasingly being deployed with greater autonomy and capabilities, which increases the risk that a misaligned AI may be …

Nelson Gardner-Challis, Jonathan Bostock, Georgiy Kozhevnikov, Morgan Sinclaire, Joan Velja, Alessandro Abate, Charlie Griffin

12 views Mar 2

Academic · 1 min

Identifying two piecewise linear additive value functions from anonymous preference information

arXiv:2602.20638v1 Announce Type: new Abstract: Eliciting a preference model involves asking a person, named decision-maker, a series of questions. We assume that these preferences can …

Vincent Auriau (Heudiasyc), Khaled Belahcene (Heudiasyc), Emmanuel Malherbe (MICS), Vincent Mousseau (MICS), Marc Pirlot

14 views Mar 2

Academic · 1 min

Grounding LLMs in Scientific Discovery via Embodied Actions

arXiv:2602.20639v1 Announce Type: new Abstract: Large Language Models (LLMs) have shown significant potential in scientific discovery but struggle to bridge the gap between theoretical reasoning …

Bo Zhang, Jinfeng Zhou, Yuxuan Chen, Jianing Yin, Minlie Huang, Hongning Wang

13 views Mar 2

Academic · 1 min

Recursive Belief Vision Language Model

arXiv:2602.20659v1 Announce Type: new Abstract: Current vision-language-action (VLA) models struggle with long-horizon manipulation under partial observability. Most existing approaches remain observation-driven, relying on short context …

Vaidehi Bagaria, Bijo Sebastian, Nirav Patel

13 views Mar 2

Academic · 1 min

How Foundational Skills Influence VLM-based Embodied Agents:A Native Perspective

arXiv:2602.20687v1 Announce Type: new Abstract: Recent advances in vision-language models (VLMs) have shown promise for human-level embodied intelligence. However, existing benchmarks for VLM-driven embodied agents …

Bo Peng, Pi Bu, Keyu Pan, Xinrun Xu, Yinxiu Zhao, Miao Chen, Yang Du, Lin Li, Jun Song, Tong Xu

13 views Mar 2

Academic · 1 min

PromptCD: Test-Time Behavior Enhancement via Polarity-Prompt Contrastive Decoding

arXiv:2602.20696v1 Announce Type: new Abstract: Reliable AI systems require large language models (LLMs) to exhibit behaviors aligned with human preferences and values. However, most existing …

Baolong Bi, Yuyao Ge, Shenghua Liu, Yuchen He, Siqian Tong, Lizhe Chen, Lingrui Mei, Zehao Li, Yiwei Wang, Yujun Cai, Ming-Hsuan Yang, Xueqi Cheng

13 views Mar 2

Academic · 1 min

Online Algorithms with Unreliable Guidance

arXiv:2602.20706v1 Announce Type: new Abstract: This paper introduces a new model for ML-augmented online decision making, called online algorithms with unreliable guidance (OAG). This model …

Julien Dallot, Yuval Emek, Yuval Gil, Maciej Pacut, Stefan Schmid

76 views Mar 2

Academic · 1 min

ICON: Indirect Prompt Injection Defense for Agents based on Inference-Time Correction

arXiv:2602.20708v1 Announce Type: new Abstract: Large Language Model (LLM) agents are susceptible to Indirect Prompt Injection (IPI) attacks, where malicious instructions in retrieved content hijack …

Che Wang, Fuyao Zhang, Jiaming Zhang, Ziqi Zhang, Yinghui Wang, Longtao Huang, Jianbo Gao, Zhong Chen, Wei Yang Bryan Lim

15 views Mar 2

Academic · 1 min

Counterfactual Simulation Training for Chain-of-Thought Faithfulness

arXiv:2602.20710v1 Announce Type: new Abstract: Inspecting Chain-of-Thought reasoning is among the most common means of understanding why an LLM produced its output. But well-known problems …

Peter Hase, Christopher Potts

15 views Mar 2

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Academic

From Logs to Language: Learning Optimal Verbalization for LLM-Based Recommendation in Production

CausalReasoningBenchmark: A Real-World Benchmark for Disentangled Evaluation of Causal Identification and Estimation

Physics-based phenomenological characterization of cross-modal bias in multimodal models

When can we trust untrusted monitoring? A safety case sketch across collusion strategies

Identifying two piecewise linear additive value functions from anonymous preference information

Grounding LLMs in Scientific Discovery via Embodied Actions

Recursive Belief Vision Language Model

How Foundational Skills Influence VLM-based Embodied Agents:A Native Perspective

PromptCD: Test-Time Behavior Enhancement via Polarity-Prompt Contrastive Decoding

Online Algorithms with Unreliable Guidance

ICON: Indirect Prompt Injection Defense for Agents based on Inference-Time Correction

Counterfactual Simulation Training for Chain-of-Thought Faithfulness

JCG, PC

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