:: Library Catalog

Image de couverture de livre

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Qu, Jiaming, Guo, Mengtian, Wang, Yue
Format:	Preprint
Publié:	2025
Sujets:	Computation and Language Machine Learning
Accès en ligne:	https://arxiv.org/abs/2511.13658
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Meta-Tuning LLMs to Leverage Lexical Knowledge for Generalizable Language Style Understanding
par: Guo, Ruohao, et autres
Publié: (2023)

Multilingual Lexical Feature Analysis of Spoken Language for Predicting Major Depression Symptom Severity
par: Tokareva, Anastasiia, et autres
Publié: (2025)

Bias in LLMs as Annotators: The Effect of Party Cues on Labelling Decision by Large Language Models
par: Vera, Sebastian Vallejo, et autres
Publié: (2024)

RLAD: Training LLMs to Discover Abstractions for Solving Reasoning Problems
par: Qu, Yuxiao, et autres
Publié: (2025)

Why Does ChatGPT "Delve" So Much? Exploring the Sources of Lexical Overrepresentation in Large Language Models
par: Juzek, Tom S., et autres
Publié: (2024)

Game of LLMs: Discovering Structural Constructs in Activities using Large Language Models
par: Hiremath, Shruthi K., et autres
Publié: (2024)

Why is "Problems" Predictive of Positive Sentiment? A Case Study of Explaining Unintuitive Features in Sentiment Classification
par: Qu, Jiaming, et autres
Publié: (2024)

Shared Lexical Task Representations Explain Behavioral Variability In LLMs
par: Yang, Zhuonan, et autres
Publié: (2026)

Neural Recovery of Historical Lexical Structure in Bantu Languages from Modern Data
par: Mutisya, Hillary, et autres
Publié: (2026)

On Lexical Invariance on Multisets and Graphs
par: Zhang, Muhan
Publié: (2024)

Survey of NLU Benchmarks Diagnosing Linguistic Phenomena: Why not Standardize Diagnostics Benchmarks?
par: Jallad, Khloud AL, et autres
Publié: (2025)

Discovering Decoupled Functional Modules in Large Language Models
par: Yu, Yanke, et autres
Publié: (2026)

tnGPS: Discovering Unknown Tensor Network Structure Search Algorithms via Large Language Models (LLMs)
par: Zeng, Junhua, et autres
Publié: (2024)

Deception Abilities Emerged in Large Language Models
par: Hagendorff, Thilo
Publié: (2023)

Model Internal Sleuthing: Finding Lexical Identity and Inflectional Features in Modern Language Models
par: Li, Michael, et autres
Publié: (2025)

Why LLMs Cannot Think and How to Fix It
par: Jahrens, Marius, et autres
Publié: (2025)

SpurLens: Automatic Detection of Spurious Cues in Multimodal LLMs
par: Hosseini, Parsa, et autres
Publié: (2025)

Lexical Hints of Accuracy in LLM Reasoning Chains
par: Vanhoyweghen, Arne, et autres
Publié: (2025)

Unified Lexical Representation for Interpretable Visual-Language Alignment
par: Li, Yifan, et autres
Publié: (2024)

SafetyNet: Detecting Harmful Outputs in LLMs by Modeling and Monitoring Deceptive Behaviors
par: Chaudhary, Maheep, et autres
Publié: (2025)

Too Big to Fool: Resisting Deception in Language Models
par: Samsami, Mohammad Reza, et autres
Publié: (2024)

Luxical: High-Speed Lexical-Dense Text Embeddings
par: DatologyAI, et autres
Publié: (2025)

Discovering Implicit Large Language Model Alignment Objectives
par: Chen, Edward, et autres
Publié: (2026)

When Thinking LLMs Lie: Unveiling the Strategic Deception in Representations of Reasoning Models
par: Wang, Kai, et autres
Publié: (2025)

Emergent Bayesian Behaviour and Optimal Cue Combination in LLMs
par: Ma, Julian, et autres
Publié: (2025)

Can Language Models Discover Scaling Laws?
par: Lin, Haowei, et autres
Publié: (2025)

Discovering Low-rank Subspaces for Language-agnostic Multilingual Representations
par: Xie, Zhihui, et autres
Publié: (2024)

Unknown Unknowns: Why Hidden Intentions in LLMs Evade Detection
par: Srivastav, Devansh, et autres
Publié: (2026)

Discovering Forbidden Topics in Language Models
par: Rager, Can, et autres
Publié: (2025)

Who Leads? Comparing Human-Centric and Model-Centric Strategies for Defining ML Target Variables
par: Guo, Mengtian, et autres
Publié: (2025)

Chatting Up Attachment: Using LLMs to Predict Adult Bonds
par: Soares, Paulo, et autres
Publié: (2024)

Phonetic and Lexical Discovery of a Canine Language using HuBERT
par: Li, Xingyuan, et autres
Publié: (2024)

Pressure-Testing Deception Probes in LLMs: Scaling, Robustness, and the Geometry of Deceptive Representations
par: Kumar, Sachin
Publié: (2026)

Adaptive Prompt Structure Factorization: A Framework for Self-Discovering and Optimizing Compositional Prompt Programs
par: Liu, Haoyue, et autres
Publié: (2026)

DeceptionBench: A Comprehensive Benchmark for AI Deception Behaviors in Real-world Scenarios
par: Huang, Yao, et autres
Publié: (2025)

Why Does Self-Distillation (Sometimes) Degrade the Reasoning Capability of LLMs?
par: Kim, Jeonghye, et autres
Publié: (2026)

Probing the Limits of the Lie Detector Approach to LLM Deception
par: Berger, Tom-Felix
Publié: (2026)

Deception Detection from Linguistic and Physiological Data Streams Using Bimodal Convolutional Neural Networks
par: Li, Panfeng, et autres
Publié: (2023)

Evaluating & Reducing Deceptive Dialogue From Language Models with Multi-turn RL
par: Abdulhai, Marwa, et autres
Publié: (2025)

Uncovering Deceptive Tendencies in Language Models: A Simulated Company AI Assistant
par: Järviniemi, Olli, et autres
Publié: (2024)