TabSHAP
Fuente:
arXiv
Saved in:
| Main Authors: | Chaudhary, Aryan, Agarwal, Prateek, Alladi, Tejasvi |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Measuring What LLMs Think They Do: SHAP Faithfulness and Deployability on Financial Tabular Classification
by: AlMarri, Saeed, et al.
Published: (2025)
by: AlMarri, Saeed, et al.
Published: (2025)
Causal Reflection with Language Models
by: Aryan, Abi, et al.
Published: (2025)
by: Aryan, Abi, et al.
Published: (2025)
Illuminate: A novel approach for depression detection with explainable analysis and proactive therapy using prompt engineering
by: Agrawal, Aryan
Published: (2024)
by: Agrawal, Aryan
Published: (2024)
Dissociating Decodability and Causal Use in Bracket-Sequence Transformers
by: Sharma, Aryan, et al.
Published: (2026)
by: Sharma, Aryan, et al.
Published: (2026)
Zero-shot Factual Consistency Evaluation Across Domains
by: Agarwal, Raunak
Published: (2024)
by: Agarwal, Raunak
Published: (2024)
Data Shapley in One Training Run
by: Wang, Jiachen T., et al.
Published: (2024)
by: Wang, Jiachen T., et al.
Published: (2024)
TabSTAR: A Tabular Foundation Model for Tabular Data with Text Fields
by: Arazi, Alan, et al.
Published: (2025)
by: Arazi, Alan, et al.
Published: (2025)
PARSE: LLM Driven Schema Optimization for Reliable Entity Extraction
by: Shrimal, Anubhav, et al.
Published: (2025)
by: Shrimal, Anubhav, et al.
Published: (2025)
Prakriti200: A Questionnaire-Based Dataset of 200 Ayurvedic Prakriti Assessments
by: Singh, Aryan Kumar, et al.
Published: (2025)
by: Singh, Aryan Kumar, et al.
Published: (2025)
One-Pass to Reason: Token Duplication and Block-Sparse Mask for Efficient Fine-Tuning on Multi-Turn Reasoning
by: Goru, Ritesh, et al.
Published: (2025)
by: Goru, Ritesh, et al.
Published: (2025)
Model Provenance Testing for Large Language Models
by: Nikolic, Ivica, et al.
Published: (2025)
by: Nikolic, Ivica, et al.
Published: (2025)
I Can't Believe It's Not Robust: Catastrophic Collapse of Safety Classifiers under Embedding Drift
by: Sahoo, Subramanyam, et al.
Published: (2026)
by: Sahoo, Subramanyam, et al.
Published: (2026)
DebateBench: A Challenging Long Context Reasoning Benchmark For Large Language Models
by: Tiwari, Utkarsh, et al.
Published: (2025)
by: Tiwari, Utkarsh, et al.
Published: (2025)
SafetyNet: Detecting Harmful Outputs in LLMs by Modeling and Monitoring Deceptive Behaviors
by: Chaudhary, Maheep, et al.
Published: (2025)
by: Chaudhary, Maheep, et al.
Published: (2025)
Enhancing Domain-Specific Retrieval-Augmented Generation: Synthetic Data Generation and Evaluation using Reasoning Models
by: Jadon, Aryan, et al.
Published: (2025)
by: Jadon, Aryan, et al.
Published: (2025)
Is Training Data Quality or Quantity More Impactful to Small Language Model Performance?
by: Sajith, Aryan, et al.
Published: (2024)
by: Sajith, Aryan, et al.
Published: (2024)
Whisper-GPT: A Hybrid Representation Audio Large Language Model
by: Verma, Prateek
Published: (2024)
by: Verma, Prateek
Published: (2024)
Influence Functions for Efficient Data Selection in Reasoning
by: Humane, Prateek, et al.
Published: (2025)
by: Humane, Prateek, et al.
Published: (2025)
The Vulnerability of Language Model Benchmarks: Do They Accurately Reflect True LLM Performance?
by: Banerjee, Sourav, et al.
Published: (2024)
by: Banerjee, Sourav, et al.
Published: (2024)
Decoding Speculative Decoding
by: Yan, Minghao, et al.
Published: (2024)
by: Yan, Minghao, et al.
Published: (2024)
In-Context Environments Induce Evaluation-Awareness in Language Models
by: Chaudhary, Maheep
Published: (2026)
by: Chaudhary, Maheep
Published: (2026)
Punctuation and Predicates in Language Models
by: Chauhan, Sonakshi, et al.
Published: (2025)
by: Chauhan, Sonakshi, et al.
Published: (2025)
Predicting ATP binding sites in protein sequences using Deep Learning and Natural Language Processing
by: V, Shreyas, et al.
Published: (2024)
by: V, Shreyas, et al.
Published: (2024)
Large Language Models aren't all that you need
by: Holla, Kiran Voderhobli, et al.
Published: (2024)
by: Holla, Kiran Voderhobli, et al.
Published: (2024)
ComPEFT: Compression for Communicating Parameter Efficient Updates via Sparsification and Quantization
by: Yadav, Prateek, et al.
Published: (2023)
by: Yadav, Prateek, et al.
Published: (2023)
Glider: Global and Local Instruction-Driven Expert Router
by: Li, Pingzhi, et al.
Published: (2024)
by: Li, Pingzhi, et al.
Published: (2024)
SHAP Meets Tensor Networks: Provably Tractable Explanations with Parallelism
by: Marzouk, Reda, et al.
Published: (2025)
by: Marzouk, Reda, et al.
Published: (2025)
TabDistill: Distilling Transformers into Neural Nets for Few-Shot Tabular Classification
by: Dissanayake, Pasan, et al.
Published: (2025)
by: Dissanayake, Pasan, et al.
Published: (2025)
Succeeding at Scale: Automated Dataset Construction and Query-Side Adaptation for Multi-Tenant Search
by: Jain, Prateek, et al.
Published: (2026)
by: Jain, Prateek, et al.
Published: (2026)
Rewarding Progress: Scaling Automated Process Verifiers for LLM Reasoning
by: Setlur, Amrith, et al.
Published: (2024)
by: Setlur, Amrith, et al.
Published: (2024)
Optimizing Pre-Training Data Mixtures with Mixtures of Data Expert Models
by: Belenki, Lior, et al.
Published: (2025)
by: Belenki, Lior, et al.
Published: (2025)
Hierarchical Text Classification Using Contrastive Learning Informed Path Guided Hierarchy
by: Agrawal, Neeraj, et al.
Published: (2025)
by: Agrawal, Neeraj, et al.
Published: (2025)
DiscoveryBench: Towards Data-Driven Discovery with Large Language Models
by: Majumder, Bodhisattwa Prasad, et al.
Published: (2024)
by: Majumder, Bodhisattwa Prasad, et al.
Published: (2024)
MaskTab: Scalable Masked Tabular Pretraining with Scaling Laws and Distillation for Industrial Classification
by: Zheng, Bo, et al.
Published: (2026)
by: Zheng, Bo, et al.
Published: (2026)
An Evaluation Benchmark for Autoformalization in Lean4
by: Gulati, Aryan, et al.
Published: (2024)
by: Gulati, Aryan, et al.
Published: (2024)
MemeCLIP: Leveraging CLIP Representations for Multimodal Meme Classification
by: Shah, Siddhant Bikram, et al.
Published: (2024)
by: Shah, Siddhant Bikram, et al.
Published: (2024)
SELF: Self-Extend the Context Length With Logistic Growth Function
by: Dang, Phat Thanh, et al.
Published: (2025)
by: Dang, Phat Thanh, et al.
Published: (2025)
H-Probes: Extracting Hierarchical Structures From Latent Representations of Language Models
by: Dawes, Cutter, et al.
Published: (2026)
by: Dawes, Cutter, et al.
Published: (2026)
Private Fine-tuning of Large Language Models with Zeroth-order Optimization
by: Tang, Xinyu, et al.
Published: (2024)
by: Tang, Xinyu, et al.
Published: (2024)
TabDLM: Free-Form Tabular Data Generation via Joint Numerical-Language Diffusion
by: Cai, Donghong, et al.
Published: (2026)
by: Cai, Donghong, et al.
Published: (2026)
Similar Items
-
Measuring What LLMs Think They Do: SHAP Faithfulness and Deployability on Financial Tabular Classification
by: AlMarri, Saeed, et al.
Published: (2025) -
Causal Reflection with Language Models
by: Aryan, Abi, et al.
Published: (2025) -
Illuminate: A novel approach for depression detection with explainable analysis and proactive therapy using prompt engineering
by: Agrawal, Aryan
Published: (2024) -
Dissociating Decodability and Causal Use in Bracket-Sequence Transformers
by: Sharma, Aryan, et al.
Published: (2026) -
Zero-shot Factual Consistency Evaluation Across Domains
by: Agarwal, Raunak
Published: (2024)