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2021-03-03 00:00:00
2026-07-16 00:00:00
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arxiv
2607.02513
null
1
LACUNA: A Testbed for Evaluating Localization Precision for LLM Unlearning
[ "Matteo Boglioni", "Thibault Rousset", "Siva Reddy", "Marius Mosbach", "Verna Dankers" ]
CC-BY-4.0
https://arxiv.org/html/2607.02513v1
2026-07-02T00:00:00
[ { "type": "para", "text": "LLMs memorize sensitive training data, including personally identifiable information (PII), creating a pressing need for reliable post hoc removal methods. Unlearning has emerged as a promising solution, with state-of-the-art (SOTA) methods often following a localize-first, unlear...
arxiv
2607.02512
null
1
Program-as-Weights: A Programming Paradigm for Fuzzy Functions
[ "Wentao Zhang", "Liliana Hotsko", "Woojeong Kim", "Pengyu Nie", "Stuart Shieber", "Yuntian Deng" ]
CC-BY-4.0
https://arxiv.org/html/2607.02512v1
2026-07-02T00:00:00
[ { "type": "para", "text": "Many everyday programming tasks resist clean rule-based implementation, such as alerting on important log lines, repairing malformed JSON, or ranking search results by intent, and are increasingly outsourced to large language model APIs at the cost of locality, reproducibility, an...
arxiv
2607.02507
null
1
What LLM Agents Say When No One Is Watching: Social Structure and Latent Objective Emergence in Multi-Agent Debates
[ "Arman Ghaffarizadeh", "Danyal Mohaddes", "Aliakbar Izadkhah", "Shahriar Noroozizadeh" ]
CC-BY-4.0
https://arxiv.org/html/2607.02507v1
2026-07-02T00:00:00
[ { "type": "para", "text": "LLM agents will increasingly act in socially structured settings where role, audience, and relational context can shape what is advantageous or costly to say. We study whether such social structure, without any explicit objective in the prompt, changes what an agent expresses publ...
arxiv
2607.02499
null
1
Beyond Adam: SOAP and Muon for Faster, Label-Efficient Training of Machine Learning Interatomic Potentials
[ "Gil Harari", "Yoel Zimmermann", "Ola Tangen Kulseng", "Laura Zichi", "Chuin Wei Tan", "Marc L. Descoteaux", "Boris Kozinsky" ]
CC-BY-4.0
https://arxiv.org/html/2607.02499v1
2026-07-02T00:00:00
[ { "type": "para", "text": "Machine learning interatomic potentials (MLIPs) have become a hallmark of AI for scientific simulation. While efforts on new architectures and datasets have led to increasingly accurate and general models, the choice of optimizer for training has largely remained unexplored, defau...
arxiv
2607.02391
null
1
WattGPU: Predicting Inference Power and Latency on Unseen GPUs and LLMs
[ "Mauricio Fadel Argerich", "Jonathan Fürst", "Marta Patiño-Martínez" ]
CC-BY-4.0
https://arxiv.org/html/2607.02391v1
2026-07-02T00:00:00
[ { "type": "para", "text": "Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0)." }, { "type": "para", "text": "SuRE’26: Workshop on Sustainability and Resource-Efficiency of Artificial Intelligence, August 17, 2024, Brem...
arxiv
2607.02292
null
1
One More Time: Revisiting Neural Quantum States from a Reinforcement Learning Perspective
["Juan Agustín Duque","Sergio García Heredia","Vinicius Hernandes","Eliška Greplová","Thomas Spr(...TRUNCATED)
CC-BY-4.0
https://arxiv.org/html/2607.02292v1
2026-07-02T00:00:00
[{"type":"para","text":"Neural quantum states (NQS) provide a flexible and scalable framework for ap(...TRUNCATED)
arxiv
2607.02288
null
1
Generalization in offline RL: The structure is more important than the amount of pessimism
[ "Max Weltevrede", "Matthijs T. J. Spaan", "Wendelin Böhmer" ]
CC-BY-4.0
https://arxiv.org/html/2607.02288v1
2026-07-02T00:00:00
[{"type":"para","text":"While pessimism counteracts overestimation bias in offline reinforcement lea(...TRUNCATED)
arxiv
2607.02266
null
1
HERMES: A Multi-Granularity Labeling Substrate for Pre-training Data Mixtures
[ "Ziyun Qiao", "Yue Min", "Ruining Chen", "Yujun Li" ]
CC-BY-4.0
https://arxiv.org/html/2607.02266v1
2026-07-02T00:00:00
[{"type":"para","text":"Most data-mixing methods assume the corpus has already been partitioned into(...TRUNCATED)
arxiv
2607.02247
null
1
Aggregation with Exponential Weights is Optimal in Expectation
[ "Mikael Møller Høgsgaard", "Patrick Rebeschini", "Tobias Wegel" ]
CC-BY-4.0
https://arxiv.org/html/2607.02247v1
2026-07-02T00:00:00
[{"type":"para","text":"The aggregation with exponential weights (AEW) estimator is not fully unders(...TRUNCATED)
arxiv
2607.02203
null
1
Self-explainable Operator Learning for Discovering Spatial Patterns in Functional Data
[ "Mojgan Alishiri", "Amirhossein Arzani" ]
CC-BY-4.0
https://arxiv.org/html/2607.02203v1
2026-07-02T00:00:00
[{"type":"para","text":"Operator learning has emerged as a powerful tool for modeling complex physic(...TRUNCATED)
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Deshuffle Papers v1 Corpus

Private runtime corpus for deshuffle_papers_v1.

  • 1,000 unique papers: 500 arXiv and 500 bioRxiv
  • Licenses: 983 CC BY 4.0, 17 CC0 1.0
  • Canonical file: corpus.jsonl
  • JSONL SHA-256: 4cdb694b600c422412efde6a392032cb1752773b58c76829ba574f28a95d569a
  • Record order is part of the environment's deterministic task definition and must be preserved.

Each row records source metadata and ordered heading/para blocks. Source-specific license and URL metadata are retained per row.

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