Sensitivity Meets Sparsity: The Impact of Extremely Sparse Parameter Patterns on Theory-of-Mind of Large Language Models
Fuente:
arXiv
Saved in:
| Main Authors: | Wu, Yuheng, Guo, Wentao, Liu, Zirui, Ji, Heng, Xu, Zhaozhuo, Zhang, Denghui |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
DEL-ToM: Inference-Time Scaling for Theory-of-Mind Reasoning via Dynamic Epistemic Logic
by: Wu, Yuheng, et al.
Published: (2025)
by: Wu, Yuheng, et al.
Published: (2025)
Measuring Copyright Risks of Large Language Model via Partial Information Probing
by: Zhao, Weijie, et al.
Published: (2024)
by: Zhao, Weijie, et al.
Published: (2024)
Do LLMs Know to Respect Copyright Notice?
by: Xu, Jialiang, et al.
Published: (2024)
by: Xu, Jialiang, et al.
Published: (2024)
UserHarness: Harnessing User Minds for Stronger Agent Theory-of-Mind
by: Qian, Cheng, et al.
Published: (2026)
by: Qian, Cheng, et al.
Published: (2026)
Sirius: Contextual Sparsity with Correction for Efficient LLMs
by: Zhou, Yang, et al.
Published: (2024)
by: Zhou, Yang, et al.
Published: (2024)
Sparsing Law: Towards Large Language Models with Greater Activation Sparsity
by: Luo, Yuqi, et al.
Published: (2024)
by: Luo, Yuqi, et al.
Published: (2024)
Context Engineering for Trustworthiness: Rescorla Wagner Steering Under Mixed and Inappropriate Contexts
by: Wang, Rushi, et al.
Published: (2025)
by: Wang, Rushi, et al.
Published: (2025)
SPP: Sparsity-Preserved Parameter-Efficient Fine-Tuning for Large Language Models
by: Lu, Xudong, et al.
Published: (2024)
by: Lu, Xudong, et al.
Published: (2024)
Zeroth-Order Fine-Tuning of LLMs with Extreme Sparsity
by: Guo, Wentao, et al.
Published: (2024)
by: Guo, Wentao, et al.
Published: (2024)
One-Shot Sensitivity-Aware Mixed Sparsity Pruning for Large Language Models
by: Shao, Hang, et al.
Published: (2023)
by: Shao, Hang, et al.
Published: (2023)
BESA: Pruning Large Language Models with Blockwise Parameter-Efficient Sparsity Allocation
by: Xu, Peng, et al.
Published: (2024)
by: Xu, Peng, et al.
Published: (2024)
One Mind, Many Tongues: A Deep Dive into Language-Agnostic Knowledge Neurons in Large Language Models
by: Cao, Pengfei, et al.
Published: (2024)
by: Cao, Pengfei, et al.
Published: (2024)
Training-Free Activation Sparsity in Large Language Models
by: Liu, James, et al.
Published: (2024)
by: Liu, James, et al.
Published: (2024)
Constrained Reasoning Chains for Enhancing Theory-of-Mind in Large Language Models
by: Lin, Zizheng, et al.
Published: (2024)
by: Lin, Zizheng, et al.
Published: (2024)
Adaptive Text Watermark for Large Language Models
by: Liu, Yepeng, et al.
Published: (2024)
by: Liu, Yepeng, et al.
Published: (2024)
Token-wise Influential Training Data Retrieval for Large Language Models
by: Lin, Huawei, et al.
Published: (2024)
by: Lin, Huawei, et al.
Published: (2024)
Sparsity-Accelerated Training for Large Language Models
by: Ma, Da, et al.
Published: (2024)
by: Ma, Da, et al.
Published: (2024)
ProSparse: Introducing and Enhancing Intrinsic Activation Sparsity within Large Language Models
by: Song, Chenyang, et al.
Published: (2024)
by: Song, Chenyang, et al.
Published: (2024)
ToMBench: Benchmarking Theory of Mind in Large Language Models
by: Chen, Zhuang, et al.
Published: (2024)
by: Chen, Zhuang, et al.
Published: (2024)
Large Language Models as Theory of Mind Aware Generative Agents with Counterfactual Reflection
by: Yang, Bo, et al.
Published: (2025)
by: Yang, Bo, et al.
Published: (2025)
Sens-Merging: Sensitivity-Guided Parameter Balancing for Merging Large Language Models
by: Liu, Shuqi, et al.
Published: (2025)
by: Liu, Shuqi, et al.
Published: (2025)
Hypothesis-Driven Theory-of-Mind Reasoning for Large Language Models
by: Kim, Hyunwoo, et al.
Published: (2025)
by: Kim, Hyunwoo, et al.
Published: (2025)
Word Salad Chopper: Reasoning Models Waste A Ton Of Decoding Budget On Useless Repetitions, Self-Knowingly
by: Xie, Wenya, et al.
Published: (2025)
by: Xie, Wenya, et al.
Published: (2025)
Large Language Models Persuade Without Planning Theory of Mind
by: Moore, Jared, et al.
Published: (2026)
by: Moore, Jared, et al.
Published: (2026)
Theory of Mind in Large Language Models: Assessment and Enhancement
by: Chen, Ruirui, et al.
Published: (2025)
by: Chen, Ruirui, et al.
Published: (2025)
Probing the Robustness of Theory of Mind in Large Language Models
by: Nickel, Christian, et al.
Published: (2024)
by: Nickel, Christian, et al.
Published: (2024)
PHAnToM: Persona-based Prompting Has An Effect on Theory-of-Mind Reasoning in Large Language Models
by: Tan, Fiona Anting, et al.
Published: (2024)
by: Tan, Fiona Anting, et al.
Published: (2024)
Equality Saturation Guided by Large Language Models
by: Peng, Wentao, et al.
Published: (2025)
by: Peng, Wentao, et al.
Published: (2025)
LM-Infinite: Zero-Shot Extreme Length Generalization for Large Language Models
by: Han, Chi, et al.
Published: (2023)
by: Han, Chi, et al.
Published: (2023)
STS: Efficient Sparse Attention with Speculative Token Sparsity
by: Xu, Ceyu, et al.
Published: (2026)
by: Xu, Ceyu, et al.
Published: (2026)
Sparsity May Be All You Need: Sparse Random Parameter Adaptation
by: Rios, Jesus, et al.
Published: (2025)
by: Rios, Jesus, et al.
Published: (2025)
XToM: Exploring the Multilingual Theory of Mind for Large Language Models
by: Chan, Chunkit, et al.
Published: (2025)
by: Chan, Chunkit, et al.
Published: (2025)
E-Sparse: Boosting the Large Language Model Inference through Entropy-based N:M Sparsity
by: Li, Yun, et al.
Published: (2023)
by: Li, Yun, et al.
Published: (2023)
Towards Safety Evaluations of Theory of Mind in Large Language Models
by: Aoshima, Tatsuhiro, et al.
Published: (2025)
by: Aoshima, Tatsuhiro, et al.
Published: (2025)
TimeToM: Temporal Space is the Key to Unlocking the Door of Large Language Models' Theory-of-Mind
by: Hou, Guiyang, et al.
Published: (2024)
by: Hou, Guiyang, et al.
Published: (2024)
Evaluating Large Language Models in Theory of Mind Tasks
by: Kosinski, Michal
Published: (2023)
by: Kosinski, Michal
Published: (2023)
Improved Unbiased Watermark for Large Language Models
by: Chen, Ruibo, et al.
Published: (2025)
by: Chen, Ruibo, et al.
Published: (2025)
Doing Things with Words: Rethinking Theory of Mind Simulation in Large Language Models
by: Lombardi, Agnese, et al.
Published: (2025)
by: Lombardi, Agnese, et al.
Published: (2025)
Perceptions to Beliefs: Exploring Precursory Inferences for Theory of Mind in Large Language Models
by: Jung, Chani, et al.
Published: (2024)
by: Jung, Chani, et al.
Published: (2024)
Neural Synchrony Between Socially Interacting Language Models
by: Zhang, Zhining, et al.
Published: (2026)
by: Zhang, Zhining, et al.
Published: (2026)
Similar Items
-
DEL-ToM: Inference-Time Scaling for Theory-of-Mind Reasoning via Dynamic Epistemic Logic
by: Wu, Yuheng, et al.
Published: (2025) -
Measuring Copyright Risks of Large Language Model via Partial Information Probing
by: Zhao, Weijie, et al.
Published: (2024) -
Do LLMs Know to Respect Copyright Notice?
by: Xu, Jialiang, et al.
Published: (2024) -
UserHarness: Harnessing User Minds for Stronger Agent Theory-of-Mind
by: Qian, Cheng, et al.
Published: (2026) -
Sirius: Contextual Sparsity with Correction for Efficient LLMs
by: Zhou, Yang, et al.
Published: (2024)