DEL-ToM: Inference-Time Scaling for Theory-of-Mind Reasoning via Dynamic Epistemic Logic
Fuente:
arXiv
Saved in:
| Main Authors: | Wu, Yuheng, Xie, Jianwen, Zhang, Denghui, Xu, Zhaozhuo |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Sensitivity Meets Sparsity: The Impact of Extremely Sparse Parameter Patterns on Theory-of-Mind of Large Language Models
by: Wu, Yuheng, et al.
Published: (2025)
by: Wu, Yuheng, et al.
Published: (2025)
ToM-SSI: Evaluating Theory of Mind in Situated Social Interactions
by: Bortoletto, Matteo, et al.
Published: (2025)
by: Bortoletto, Matteo, et al.
Published: (2025)
ToM-LM: Delegating Theory of Mind Reasoning to External Symbolic Executors in Large Language Models
by: Tang, Weizhi, et al.
Published: (2024)
by: Tang, Weizhi, et al.
Published: (2024)
Decompose-ToM: Enhancing Theory of Mind Reasoning in Large Language Models through Simulation and Task Decomposition
by: Sarangi, Sneheel, et al.
Published: (2025)
by: Sarangi, Sneheel, et al.
Published: (2025)
Agent-ToM: Learning to Monitor Autonomous LLM Agents via Theory-of-Mind Reasoning
by: Ahmed, Nesreen K., et al.
Published: (2026)
by: Ahmed, Nesreen K., et al.
Published: (2026)
SimpleToM: Exposing the Gap between Explicit ToM Inference and Implicit ToM Application in LLMs
by: Gu, Yuling, et al.
Published: (2024)
by: Gu, Yuling, et al.
Published: (2024)
MuMA-ToM: Multi-modal Multi-Agent Theory of Mind
by: Shi, Haojun, et al.
Published: (2024)
by: Shi, Haojun, et al.
Published: (2024)
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)
SoMi-ToM: Evaluating Multi-Perspective Theory of Mind in Embodied Social Interactions
by: Fan, Xianzhe, et al.
Published: (2025)
by: Fan, Xianzhe, et al.
Published: (2025)
Exploring Next Token Prediction in Theory of Mind (ToM) Tasks: Comparative Experiments with GPT-2 and LLaMA-2 AI Models
by: Yadav, Pavan, et al.
Published: (2025)
by: Yadav, Pavan, et al.
Published: (2025)
Understanding Epistemic Language with a Language-augmented Bayesian Theory of Mind
by: Ying, Lance, et al.
Published: (2024)
by: Ying, Lance, et al.
Published: (2024)
Mind Your Theory: Theory of Mind Goes Deeper Than Reasoning
by: Wagner, Eitan, et al.
Published: (2024)
by: Wagner, Eitan, et al.
Published: (2024)
Logical Reasoning with Outcome Reward Models for Test-Time Scaling
by: Thatikonda, Ramya Keerthy, et al.
Published: (2025)
by: Thatikonda, Ramya Keerthy, et al.
Published: (2025)
To Think or Not To Think, That is The Question for Large Reasoning Models in Theory of Mind Tasks
by: Gong, Nanxu, et al.
Published: (2026)
by: Gong, Nanxu, et al.
Published: (2026)
OpenToM: A Comprehensive Benchmark for Evaluating Theory-of-Mind Reasoning Capabilities of Large Language Models
by: Xu, Hainiu, et al.
Published: (2024)
by: Xu, Hainiu, et al.
Published: (2024)
SynLogic: Synthesizing Verifiable Reasoning Data at Scale for Learning Logical Reasoning and Beyond
by: Liu, Junteng, et al.
Published: (2025)
by: Liu, Junteng, et al.
Published: (2025)
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)
InMind: Evaluating LLMs in Capturing and Applying Individual Human Reasoning Styles
by: Li, Zizhen, et al.
Published: (2025)
by: Li, Zizhen, et al.
Published: (2025)
On the Role of Temperature Sampling in Test-Time Scaling
by: Wu, Yuheng, et al.
Published: (2025)
by: Wu, Yuheng, et al.
Published: (2025)
Keep Guessing? When Considering Inference Scaling, Mind the Baselines
by: Yona, Gal, et al.
Published: (2024)
by: Yona, Gal, et al.
Published: (2024)
Rank-O-ToM: Unlocking Emotional Nuance Ranking to Enhance Affective Theory-of-Mind
by: Kim, JiHyun, et al.
Published: (2025)
by: Kim, JiHyun, et al.
Published: (2025)
Theory of Mind in Action: The Instruction Inference Task in Dynamic Human-Agent Collaboration
by: Saad, Fardin, et al.
Published: (2025)
by: Saad, Fardin, 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)
NoMAD-Attention: Efficient LLM Inference on CPUs Through Multiply-add-free Attention
by: Zhang, Tianyi, et al.
Published: (2024)
by: Zhang, Tianyi, et al.
Published: (2024)
Epistemic Blinding: An Inference-Time Protocol for Auditing Prior Contamination in LLM-Assisted Analysis
by: Cuccarese, Michael
Published: (2026)
by: Cuccarese, Michael
Published: (2026)
Do Theory of Mind Benchmarks Need Explicit Human-like Reasoning in Language Models?
by: Lu, Yi-Long, et al.
Published: (2025)
by: Lu, Yi-Long, et al.
Published: (2025)
Simulated Annealing Enhances Theory-of-Mind Reasoning in Autoregressive Language Models
by: Hu, Xucong, et al.
Published: (2026)
by: Hu, Xucong, et al.
Published: (2026)
GraphDancer: Training LLMs to Explore and Reason over Graphs via Two-Stage Curriculum Post-Training
by: Bai, Yuyang, et al.
Published: (2026)
by: Bai, Yuyang, et al.
Published: (2026)
ZebraLogic: On the Scaling Limits of LLMs for Logical Reasoning
by: Lin, Bill Yuchen, et al.
Published: (2025)
by: Lin, Bill Yuchen, et al.
Published: (2025)
Language-Informed Synthesis of Rational Agent Models for Grounded Theory-of-Mind Reasoning On-The-Fly
by: Ying, Lance, et al.
Published: (2025)
by: Ying, Lance, et al.
Published: (2025)
UniScale: Adaptive Unified Inference Scaling via Online Joint Optimization of Model Routing and Test-Time Scaling
by: Huang, Kaiyu, et al.
Published: (2026)
by: Huang, Kaiyu, et al.
Published: (2026)
Understanding Artificial Theory of Mind: Perturbed Tasks and Reasoning in Large Language Models
by: Nickel, Christian, et al.
Published: (2026)
by: Nickel, Christian, et al.
Published: (2026)
AutoToM: Scaling Model-based Mental Inference via Automated Agent Modeling
by: Zhang, Zhining, et al.
Published: (2025)
by: Zhang, Zhining, et al.
Published: (2025)
Overcoming Multi-step Complexity in Multimodal Theory-of-Mind Reasoning: A Scalable Bayesian Planner
by: Zhang, Chunhui, et al.
Published: (2025)
by: Zhang, Chunhui, et al.
Published: (2025)
LLM-FSM: Scaling Large Language Models for Finite-State Reasoning in RTL Code Generation
by: Wu, Yuheng, et al.
Published: (2026)
by: Wu, Yuheng, et al.
Published: (2026)
A Survey of Frontiers in LLM Reasoning: Inference Scaling, Learning to Reason, and Agentic Systems
by: Ke, Zixuan, et al.
Published: (2025)
by: Ke, Zixuan, et al.
Published: (2025)
Nuance Matters: Probing Epistemic Consistency in Causal Reasoning
by: Cui, Shaobo, et al.
Published: (2024)
by: Cui, Shaobo, et al.
Published: (2024)
Zero, Finite, and Infinite Belief History of Theory of Mind Reasoning in Large Language Models
by: Tang, Weizhi, et al.
Published: (2024)
by: Tang, Weizhi, et al.
Published: (2024)
Inference-Time Scaling for Generalist Reward Modeling
by: Liu, Zijun, et al.
Published: (2025)
by: Liu, Zijun, et al.
Published: (2025)
NegotiationToM: A Benchmark for Stress-testing Machine Theory of Mind on Negotiation Surrounding
by: Chan, Chunkit, et al.
Published: (2024)
by: Chan, Chunkit, et al.
Published: (2024)
Similar Items
-
Sensitivity Meets Sparsity: The Impact of Extremely Sparse Parameter Patterns on Theory-of-Mind of Large Language Models
by: Wu, Yuheng, et al.
Published: (2025) -
ToM-SSI: Evaluating Theory of Mind in Situated Social Interactions
by: Bortoletto, Matteo, et al.
Published: (2025) -
ToM-LM: Delegating Theory of Mind Reasoning to External Symbolic Executors in Large Language Models
by: Tang, Weizhi, et al.
Published: (2024) -
Decompose-ToM: Enhancing Theory of Mind Reasoning in Large Language Models through Simulation and Task Decomposition
by: Sarangi, Sneheel, et al.
Published: (2025) -
Agent-ToM: Learning to Monitor Autonomous LLM Agents via Theory-of-Mind Reasoning
by: Ahmed, Nesreen K., et al.
Published: (2026)