Effective Distillation of Table-based Reasoning Ability from LLMs
Fuente:
arXiv
Saved in:
| Main Authors: | Yang, Bohao, Tang, Chen, Zhao, Kun, Xiao, Chenghao, Lin, Chenghua |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Crafting Customisable Characters with LLMs: A Persona-Driven Role-Playing Agent Framework
by: Yang, Bohao, et al.
Published: (2024)
by: Yang, Bohao, et al.
Published: (2024)
BioMNER: A Dataset for Biomedical Method Entity Recognition
by: Tang, Chen, et al.
Published: (2024)
by: Tang, Chen, et al.
Published: (2024)
Emphasising Structured Information: Integrating Abstract Meaning Representation into LLMs for Enhanced Open-Domain Dialogue Evaluation
by: Yang, Bohao, et al.
Published: (2024)
by: Yang, Bohao, et al.
Published: (2024)
SLIDE: A Framework Integrating Small and Large Language Models for Open-Domain Dialogues Evaluation
by: Zhao, Kun, et al.
Published: (2024)
by: Zhao, Kun, et al.
Published: (2024)
DRE: An Effective Dual-Refined Method for Integrating Small and Large Language Models in Open-Domain Dialogue Evaluation
by: Zhao, Kun, et al.
Published: (2025)
by: Zhao, Kun, et al.
Published: (2025)
Does Table Source Matter? Benchmarking and Improving Multimodal Scientific Table Understanding and Reasoning
by: Yang, Bohao, et al.
Published: (2025)
by: Yang, Bohao, et al.
Published: (2025)
Distill Visual Chart Reasoning Ability from LLMs to MLLMs
by: He, Wei, et al.
Published: (2024)
by: He, Wei, et al.
Published: (2024)
Beyond One-Size-Fits-All: Inversion Learning for Highly Effective NLG Evaluation Prompts
by: Hong, Hanhua, et al.
Published: (2025)
by: Hong, Hanhua, et al.
Published: (2025)
CADGE: Context-Aware Dialogue Generation Enhanced with Graph-Structured Knowledge Aggregation
by: Zhang, Hongbo, et al.
Published: (2023)
by: Zhang, Hongbo, et al.
Published: (2023)
On the Rigour of Scientific Writing: Criteria, Analysis, and Insights
by: James, Joseph, et al.
Published: (2024)
by: James, Joseph, et al.
Published: (2024)
Drivel-ology: Challenging LLMs with Interpreting Nonsense with Depth
by: Wang, Yang, et al.
Published: (2025)
by: Wang, Yang, et al.
Published: (2025)
X-ray Made Simple: Lay Radiology Report Generation and Robust Evaluation
by: Zhao, Kun, et al.
Published: (2024)
by: Zhao, Kun, et al.
Published: (2024)
Tables as Texts or Images: Evaluating the Table Reasoning Ability of LLMs and MLLMs
by: Deng, Naihao, et al.
Published: (2024)
by: Deng, Naihao, et al.
Published: (2024)
Distilling Reasoning Ability from Large Language Models with Adaptive Thinking
by: Chen, Xiaoshu, et al.
Published: (2024)
by: Chen, Xiaoshu, et al.
Published: (2024)
RIGOURATE: Quantifying Scientific Exaggeration with Evidence-Aligned Claim Evaluation
by: James, Joseph, et al.
Published: (2026)
by: James, Joseph, et al.
Published: (2026)
Train & Constrain: Phonologically Informed Tongue-Twister Generation from Topics and Paraphrases
by: Loakman, Tyler, et al.
Published: (2024)
by: Loakman, Tyler, et al.
Published: (2024)
EvolvTrip: Enhancing Literary Character Understanding with Temporal Theory-of-Mind Graphs
by: Yang, Bohao, et al.
Published: (2025)
by: Yang, Bohao, et al.
Published: (2025)
Quantifying the Reasoning Abilities of LLMs on Real-world Clinical Cases
by: Qiu, Pengcheng, et al.
Published: (2025)
by: Qiu, Pengcheng, et al.
Published: (2025)
Adversarial Defence without Adversarial Defence: Enhancing Language Model Robustness via Instance-level Principal Component Removal
by: Wang, Yang, et al.
Published: (2025)
by: Wang, Yang, et al.
Published: (2025)
Audio Contrastive-based Fine-tuning: Decoupling Representation Learning and Classification
by: Wang, Yang, et al.
Published: (2023)
by: Wang, Yang, et al.
Published: (2023)
MoL-RL: Distilling Multi-Step Environmental Feedback into LLMs for Feedback-Independent Reasoning
by: Yang, Kang, et al.
Published: (2025)
by: Yang, Kang, et al.
Published: (2025)
AQA-Bench: An Interactive Benchmark for Evaluating LLMs' Sequential Reasoning Ability
by: Yang, Siwei, et al.
Published: (2024)
by: Yang, Siwei, et al.
Published: (2024)
Adaptive Ability Decomposing for Unlocking Large Reasoning Model Effective Reinforcement Learning
by: Chen, Zhipeng, et al.
Published: (2026)
by: Chen, Zhipeng, et al.
Published: (2026)
Categorical Syllogisms Revisited: A Review of the Logical Reasoning Abilities of LLMs for Analyzing Categorical Syllogism
by: Zong, Shi, et al.
Published: (2024)
by: Zong, Shi, et al.
Published: (2024)
LLMs as Narcissistic Evaluators: When Ego Inflates Evaluation Scores
by: Liu, Yiqi, et al.
Published: (2023)
by: Liu, Yiqi, et al.
Published: (2023)
Reliable Reasoning Path: Distilling Effective Guidance for LLM Reasoning with Knowledge Graphs
by: Xiao, Yilin, et al.
Published: (2025)
by: Xiao, Yilin, et al.
Published: (2025)
Exploring Task Performance with Interpretable Models via Sparse Auto-Encoders
by: Wang, Shun, et al.
Published: (2025)
by: Wang, Shun, et al.
Published: (2025)
Diversity of Thought Improves Reasoning Abilities of LLMs
by: Naik, Ranjita, et al.
Published: (2023)
by: Naik, Ranjita, et al.
Published: (2023)
Distilling LLMs' Decomposition Abilities into Compact Language Models
by: Tarasov, Denis, et al.
Published: (2024)
by: Tarasov, Denis, et al.
Published: (2024)
Atomic Thinking of LLMs: Decoupling and Exploring Mathematical Reasoning Abilities
by: Kuang, Jiayi, et al.
Published: (2025)
by: Kuang, Jiayi, et al.
Published: (2025)
Thinking-Free Policy Initialization Makes Distilled Reasoning Models More Effective and Efficient Reasoners
by: Xu, Xin, et al.
Published: (2025)
by: Xu, Xin, et al.
Published: (2025)
Tougher Text, Smarter Models: Raising the Bar for Adversarial Defence Benchmarks
by: Wang, Yang, et al.
Published: (2025)
by: Wang, Yang, et al.
Published: (2025)
Enhancing Reasoning Abilities of Small LLMs with Cognitive Alignment
by: Cai, Wenrui, et al.
Published: (2025)
by: Cai, Wenrui, et al.
Published: (2025)
An Empirical Study of Data Ability Boundary in LLMs' Math Reasoning
by: Chen, Zui, et al.
Published: (2024)
by: Chen, Zui, et al.
Published: (2024)
Can We Trust LLMs on Memristors? Diving into Reasoning Ability under Non-Ideality
by: Wu, Taiqiang, et al.
Published: (2026)
by: Wu, Taiqiang, et al.
Published: (2026)
Code Prompting Elicits Conditional Reasoning Abilities in Text+Code LLMs
by: Puerto, Haritz, et al.
Published: (2024)
by: Puerto, Haritz, et al.
Published: (2024)
Speculative Reward Model Boosts Decision Making Ability of LLMs Cost-Effectively
by: Gu, Jiawei, et al.
Published: (2025)
by: Gu, Jiawei, et al.
Published: (2025)
Disentangling Memory and Reasoning Ability in Large Language Models
by: Jin, Mingyu, et al.
Published: (2024)
by: Jin, Mingyu, et al.
Published: (2024)
Boosting LLM Translation Skills without General Ability Loss via Rationale Distillation
by: Wu, Junhong, et al.
Published: (2024)
by: Wu, Junhong, et al.
Published: (2024)
Extracting and Combining Abilities For Building Multi-lingual Ability-enhanced Large Language Models
by: Chen, Zhipeng, et al.
Published: (2024)
by: Chen, Zhipeng, et al.
Published: (2024)
Similar Items
-
Crafting Customisable Characters with LLMs: A Persona-Driven Role-Playing Agent Framework
by: Yang, Bohao, et al.
Published: (2024) -
BioMNER: A Dataset for Biomedical Method Entity Recognition
by: Tang, Chen, et al.
Published: (2024) -
Emphasising Structured Information: Integrating Abstract Meaning Representation into LLMs for Enhanced Open-Domain Dialogue Evaluation
by: Yang, Bohao, et al.
Published: (2024) -
SLIDE: A Framework Integrating Small and Large Language Models for Open-Domain Dialogues Evaluation
by: Zhao, Kun, et al.
Published: (2024) -
DRE: An Effective Dual-Refined Method for Integrating Small and Large Language Models in Open-Domain Dialogue Evaluation
by: Zhao, Kun, et al.
Published: (2025)