The Granularity Axis: A Micro-to-Macro Latent Direction for Social Roles in Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Qin, Chonghan, Feng, Xiachong, Song, Ziyun, Feng, Xiaocheng, Xiong, Jing, Kong, Lingpeng
Format:	Preprint
Published:	2026
Subjects:	Artificial Intelligence Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

ImplicitMemBench: Measuring Unconscious Behavioral Adaptation in Large Language Models
by: Qin, Chonghan, et al.
Published: (2026)

Reasoning Does Not Necessarily Improve Role-Playing Ability
by: Feng, Xiachong, et al.
Published: (2025)

A Survey on Large Language Model-Based Social Agents in Game-Theoretic Scenarios
by: Feng, Xiachong, et al.
Published: (2024)

Understanding the Role of LLMs in Multimodal Evaluation Benchmarks
by: Jiang, Botian, et al.
Published: (2024)

SAVOIR: Learning Social Savoir-Faire via Shapley-based Reward Attribution
by: Feng, Xiachong, et al.
Published: (2026)

Learning Fine-Grained Grounded Citations for Attributed Large Language Models
by: Huang, Lei, et al.
Published: (2024)

GlobeSumm: A Challenging Benchmark Towards Unifying Multi-lingual, Cross-lingual and Multi-document News Summarization
by: Ye, Yangfan, et al.
Published: (2024)

Micro-Macro Retrieval: Reducing Long-Form Hallucination in Large Language Models
by: Feng, Yujie, et al.
Published: (2026)

From Hypothesis to Publication: A Comprehensive Survey of AI-Driven Research Support Systems
by: Zhou, Zekun, et al.
Published: (2025)

Linguistic Frameworks Go Toe-to-Toe at Neuro-Symbolic Language Modeling
by: Prange, Jakob, et al.
Published: (2021)

PERSONA: Dynamic and Compositional Inference-Time Personality Control via Activation Vector Algebra
by: Feng, Xiachong, et al.
Published: (2026)

Proxy Compression for Language Modeling
by: Zheng, Lin, et al.
Published: (2026)

Large Language Models Meet NLP: A Survey
by: Qin, Libo, et al.
Published: (2024)

Non-myopic Generation of Language Models for Reasoning and Planning
by: Ma, Chang, et al.
Published: (2024)

PromptCoT: Synthesizing Olympiad-level Problems for Mathematical Reasoning in Large Language Models
by: Zhao, Xueliang, et al.
Published: (2025)

Empowering Large Language Model Agents through Action Learning
by: Zhao, Haiteng, et al.
Published: (2024)

Assessing the Macro and Micro Effects of Random Seeds on Fine-Tuning Large Language Models
by: Bui, Nghia, et al.
Published: (2025)

TMGBench: A Systematic Game Benchmark for Evaluating Strategic Reasoning Abilities of LLMs
by: Wang, Haochuan, et al.
Published: (2024)

Advancing Large Language Model Attribution through Self-Improving
by: Huang, Lei, et al.
Published: (2024)

Teaching Language Models to Critique via Reinforcement Learning
by: Xie, Zhihui, et al.
Published: (2025)

Scaling Reasoning without Attention
by: Zhao, Xueliang, et al.
Published: (2025)

DLM-Scope: Mechanistic Interpretability of Diffusion Language Models via Sparse Autoencoders
by: Wang, Xu, et al.
Published: (2026)

Bootstrapping Exploration with Group-Level Natural Language Feedback in Reinforcement Learning
by: Huang, Lei, et al.
Published: (2026)

Corex: Pushing the Boundaries of Complex Reasoning through Multi-Model Collaboration
by: Sun, Qiushi, et al.
Published: (2023)

OMIBench: Benchmarking Olympiad-Level Multi-Image Reasoning in Large Vision-Language Model
by: Chen, Qiguang, et al.
Published: (2026)

Unveiling Entity-Level Unlearning for Large Language Models: A Comprehensive Analysis
by: Ma, Weitao, et al.
Published: (2024)

A Role-specific Guided Large Language Model for Ophthalmic Consultation Based on Stylistic Differentiation
by: Fu, Laiyi, et al.
Published: (2024)

Investigating and Mitigating the Multimodal Hallucination Snowballing in Large Vision-Language Models
by: Zhong, Weihong, et al.
Published: (2024)

Adapter-based Selective Knowledge Distillation for Federated Multi-domain Meeting Summarization
by: Feng, Xiachong, et al.
Published: (2023)

Target-Aware Language Modeling via Granular Data Sampling
by: Chang, Ernie, et al.
Published: (2024)

BiLD: Bi-directional Logits Difference Loss for Large Language Model Distillation
by: Li, Minchong, et al.
Published: (2024)

AdaPreLoRA: Adafactor Preconditioned Low-Rank Adaptation
by: Liu, Ziyun, et al.
Published: (2026)

Stratagem: Learning Transferable Reasoning via Trajectory-Modulated Game Self-Play
by: Feng, Xiachong, et al.
Published: (2026)

SDPO: Segment-Level Direct Preference Optimization for Social Agents
by: Kong, Aobo, et al.
Published: (2025)

Reasoning Beyond Chain-of-Thought: A Latent Computational Mode in Large Language Models
by: He, Zhenghao, et al.
Published: (2026)

RuPLaR : Efficient Latent Compression of LLM Reasoning Chains with Rule-Based Priors From Multi-Step to One-Step
by: Luo, Xiaocheng, et al.
Published: (2026)

Improving Language Model Reasoning with Self-motivated Learning
by: Feng, Yunlong, et al.
Published: (2024)

More Than Meets the Eye? Uncovering the Reasoning-Planning Disconnect in Training Vision-Language Driving Models
by: Song, Xurui, et al.
Published: (2025)

LoRA Meets Dropout under a Unified Framework
by: Wang, Sheng, et al.
Published: (2024)

Multimodal ArXiv: A Dataset for Improving Scientific Comprehension of Large Vision-Language Models
by: Li, Lei, et al.
Published: (2024)