For every paper on this page, at least one of the original authors has seen our plain-language explanation and engaged with it — either confirming it reads accurately or requesting corrections that we then applied. An endorsement does not mean the authors formally approve every sentence, but it does mean the explanation has passed the eyes of the people who wrote the paper.

1343 papers reviewed by authors · 631–640 / 1343

💬 NLP

How Far Can You Get Without a GPU? A Systematic Benchmark of Lightweight Hallucination Detection Across Question Answering, Dialogue, and Summarisation

This paper systematically benchmarks five lightweight, CPU-feasible hallucination detection methods across question answering, dialogue, and summarization tasks, revealing that performance is highly task-dependent with ensemble methods excelling in QA, NLI detectors leading in dialogue, and all approaches failing significantly on summarization.

Kriti Faujdar, Smit Kadvani2026-06-30✓ Author reviewed ⓘ
💬 NLP

Evidence-Informed LLM Beliefs for Continual Scientific Discovery

This paper introduces an evidence-informed framework for continual scientific discovery with LLMs that replaces static Bayesian surprise with non-stationary, belief-updated surprisal and employs filtering and diversity maximization to eliminate spurious rewards, thereby significantly improving hypothesis exploration across multiple domains.

Dhruv Agarwal, Reece Adamson, Andrew McCallum, Peter Clark, Ashish Sabharwal, Bodhisattwa Prasad Majumder2026-06-30✓ Author reviewed ⓘ
💬 NLP

SurrogateShield: Beyond Redaction for High-Utility, Privacy-Preserving LLM Interactions

SurrogateShield is a client-side proxy that enhances privacy-preserving LLM interactions by replacing detected PII with locally generated, type-consistent surrogate values before transmission and restoring the originals in responses, thereby eliminating real PII exposure while significantly improving semantic utility compared to traditional redaction methods.

Sherwin Vishesh Jathanna2026-06-30✓ Author reviewed ⓘ
📊 statistics

Robust Regularised M-Estimators for High-Dimensional Regression with Heavy-Tailed and Skewed Errors

This paper introduces a class of robust regularised M-estimators for high-dimensional regression that achieves optimal convergence rates and variable selection consistency under minimal moment conditions (finite α>1\alpha > 1), outperforming existing methods in both simulation and real-world genomic applications when dealing with heavy-tailed, skewed, or contaminated errors.

Mazona Victor, Vincent Odiaka, Gabriel O. Obadina2026-06-30✓ Author reviewed ⓘ
📄 earth science

Modeling Soil Volumetric Water Content Based on Climatic Factors in the Tripoli Region (Libya) Using Multiple Linear Regression

This study utilizes multiple linear regression analysis of data from 2001 to 2024 to demonstrate that precipitation is the most significant climatic factor positively influencing soil volumetric water content in Tripoli, Libya, while relative humidity shows a positive correlation and soil temperature exhibits an inverse relationship.

Amel Saad Ashargawi, Haifa BEN MILOUD2026-06-30✓ Author reviewed ⓘ
🔬 physics

A Causal Memory-Kernel Response Framework for Weak-Field Gravity: Trace Projection, Local Limits, and Phenomenological Constraints

This paper proposes a constrained low-energy causal memory-kernel framework for weak-field gravity that separates scalar trace projections from full tensor responses to incorporate historical dependence and memristive-like structures while remaining consistent with standard General Relativity limits and phenomenological observational bounds.

Mingde Yang2026-06-30✓ Author reviewed ⓘ
🧬 biology

Residual Body-Mass Dependence in VO₂peak Normalization: Comparison of Ratio Scaling, Allometric Modeling, and Regression–Residual Methods

This study demonstrates that while conventional ratio scaling of peak oxygen uptake (VO₂peak) retains significant residual dependence on body mass, regression–residual normalization effectively eliminates this bias, offering a superior alternative to both ratio scaling and conventional allometric modeling for adjusting aerobic capacity across diverse body sizes.

Thomas Fahey, Miguel Rivera2026-06-30✓ Author reviewed ⓘ
🧬 biology

Diversity, Nesting Ecology and Worker-level Morphometric Structure of Stingless Bees (Hymenoptera: Apidae: Meliponini) in the Bimodal Forest Zone of Central Cameroon

This study documents the diversity, nesting ecology, and worker-level morphometric structure of stingless bees in Central Cameroon's bimodal forest zone, revealing that *Hypotrigona gribodoi* and *Dactylurina staudingeri* exhibit contrasting, size-structured phenotypic variations and distinct nesting habits while establishing the first locality-resolved baseline to support conservation and meliponiculture.

Nsiyapnze Katte Yato Katte, Félix Meutchieye2026-06-30✓ Author reviewed ⓘ