Product-of-Experts Training Reduces Dataset Artifacts in Natural Language Inference
Fuente:
arXiv
Saved in:
| Main Author: | Mathew, Aby Mammen |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
CLMN: Concept based Language Models via Neural Symbolic Reasoning
by: Yang, Yibo
Published: (2025)
by: Yang, Yibo
Published: (2025)
AIPsy-Affect: A Keyword-Free Clinical Stimulus Battery for Mechanistic Interpretability of Emotion in Language Models
by: Keeman, Michael
Published: (2026)
by: Keeman, Michael
Published: (2026)
Unsolvability Ceiling in Multi-LLM Routing: An Empirical Study of Evaluation Artifacts
by: Garg, Saloni, et al.
Published: (2026)
by: Garg, Saloni, et al.
Published: (2026)
ProbeScale: Probing Analysis to Optimize Neural Scaling Laws for Efficient Small Language Model Inference
by: Das, Sourav
Published: (2026)
by: Das, Sourav
Published: (2026)
NOTAI.AI: Explainable Detection of Machine-Generated Text via Curvature and Feature Attribution
by: Breneur, Oleksandr Marchenko, et al.
Published: (2026)
by: Breneur, Oleksandr Marchenko, et al.
Published: (2026)
Rethinking the Multilingual Reasoning Gap with Layer Swap
by: Lasbordes, Maxence, et al.
Published: (2026)
by: Lasbordes, Maxence, et al.
Published: (2026)
Harnessing non-adversarial robustness in large language models
by: Zhou, Qinghua, et al.
Published: (2026)
by: Zhou, Qinghua, et al.
Published: (2026)
Unpacking Hateful Memes: Presupposed Context and False Claims
by: Cai, Weibin, et al.
Published: (2025)
by: Cai, Weibin, et al.
Published: (2025)
Do Reasoning Models Enhance Embedding Models?
by: Chan, Wun Yu, et al.
Published: (2026)
by: Chan, Wun Yu, et al.
Published: (2026)
mHC-SSM: Manifold-Constrained Hyper-Connections for State Space Language Models with Stream-Specialized Adapters
by: Mutlu, Abdulvahap, et al.
Published: (2026)
by: Mutlu, Abdulvahap, et al.
Published: (2026)
How Pruning Reshapes Features: Sparse Autoencoder Analysis of Weight-Pruned Language Models
by: Borobia, Hector, et al.
Published: (2026)
by: Borobia, Hector, et al.
Published: (2026)
Causally Grounded Mechanistic Interpretability for LLMs with Faithful Natural-Language Explanations
by: Mahale, Ajay Pravin
Published: (2026)
by: Mahale, Ajay Pravin
Published: (2026)
Inference acceleration for large language models using "stairs" assisted greedy generation
by: Grigaliūnas, Domas, et al.
Published: (2024)
by: Grigaliūnas, Domas, et al.
Published: (2024)
ReFactor GNNs: Revisiting Factorisation-based Models from a Message-Passing Perspective
by: Chen, Yihong, et al.
Published: (2022)
by: Chen, Yihong, et al.
Published: (2022)
Multi-Model Synthetic Training for Mission-Critical Small Language Models
by: Platt, Nolan, et al.
Published: (2025)
by: Platt, Nolan, et al.
Published: (2025)
Continuous Latent Diffusion Language Model
by: Guo, Hongcan, et al.
Published: (2026)
by: Guo, Hongcan, et al.
Published: (2026)
The Concept Allocation Zone: Tracking How Concepts Form Across Transformer Depth
by: Henry, James
Published: (2026)
by: Henry, James
Published: (2026)
Mechanistic Analysis of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning
by: Imanov, Olaf Yunus Laitinen
Published: (2026)
by: Imanov, Olaf Yunus Laitinen
Published: (2026)
Strategic Doctrine Language Models (sdLM): A Learning-System Framework for Doctrinal Consistency and Geopolitical Forecasting
by: Imanov, Olaf Yunus Laitinen, et al.
Published: (2026)
by: Imanov, Olaf Yunus Laitinen, et al.
Published: (2026)
No Memorization, No Detection: Output Distribution-Based Contamination Detection in Small Language Models
by: Sela, Omer
Published: (2026)
by: Sela, Omer
Published: (2026)
DRO-InstructZero: Distributionally Robust Prompt Optimization for Large Language Models
by: Li, Yangyang
Published: (2025)
by: Li, Yangyang
Published: (2025)
ProactBench: Beyond What The User Asked For
by: Harfi, Sepehr, et al.
Published: (2026)
by: Harfi, Sepehr, et al.
Published: (2026)
Towards Ontology-Enhanced Representation Learning for Large Language Models
by: Ronzano, Francesco, et al.
Published: (2024)
by: Ronzano, Francesco, et al.
Published: (2024)
Think-at-Hard: Selective Latent Iterations to Improve Reasoning Language Models
by: Fu, Tianyu, et al.
Published: (2025)
by: Fu, Tianyu, et al.
Published: (2025)
Latent Object Permanence: Topological Phase Transitions, Free-Energy Principles, and Renormalization Group Flows in Deep Transformer Manifolds
by: Alpay, Faruk, et al.
Published: (2026)
by: Alpay, Faruk, et al.
Published: (2026)
HEFT: A Coarse-to-Fine Hierarchy for Enhancing the Efficiency and Accuracy of Language Model Reasoning
by: Hill, Brennen
Published: (2025)
by: Hill, Brennen
Published: (2025)
CogniLoad: A Synthetic Natural Language Reasoning Benchmark With Tunable Length, Intrinsic Difficulty, and Distractor Density
by: Kaiser, Daniel, et al.
Published: (2025)
by: Kaiser, Daniel, et al.
Published: (2025)
SafeAnchor: Preventing Cumulative Safety Erosion in Continual Domain Adaptation of Large Language Models
by: Guo, Dongxin, et al.
Published: (2026)
by: Guo, Dongxin, et al.
Published: (2026)
lmfaoooo at SemEval-2026 Task 1: Humor Is an Audience. Preference Modeling for Constrained Humor Generation
by: Tikhonov, Alexey, et al.
Published: (2026)
by: Tikhonov, Alexey, et al.
Published: (2026)
When Does Content-Based Routing Work? Representation Requirements for Selective Attention in Hybrid Sequence Models
by: Basu, Abhinaba
Published: (2026)
by: Basu, Abhinaba
Published: (2026)
Word Overuse and Alignment in Large Language Models: The Influence of Learning from Human Feedback
by: Juzek, Tom S., et al.
Published: (2025)
by: Juzek, Tom S., et al.
Published: (2025)
Causal Dimensionality of Transformer Representations: Measurement, Scaling, and Layer Structure
by: Sarkar, Nilesh, et al.
Published: (2026)
by: Sarkar, Nilesh, et al.
Published: (2026)
Sliced-Wasserstein Distribution Alignment Loss Improves the Ultra-Low-Bit Quantization of Large Language Models
by: Cao, Deyu, et al.
Published: (2026)
by: Cao, Deyu, et al.
Published: (2026)
Improving Commonsense Bias Classification by Mitigating the Influence of Demographic Terms
by: Lee, JinKyu, et al.
Published: (2024)
by: Lee, JinKyu, et al.
Published: (2024)
Linguistic Collapse: Neural Collapse in (Large) Language Models
by: Wu, Robert, et al.
Published: (2024)
by: Wu, Robert, et al.
Published: (2024)
Who's Asking? Investigating Bias Through the Lens of Disability Framed Queries in LLMs
by: Hari, Vishnu, et al.
Published: (2025)
by: Hari, Vishnu, et al.
Published: (2025)
Challenges and Applications of Large Language Models: A Comparison of GPT and DeepSeek family of models
by: Sharma, Shubham, et al.
Published: (2025)
by: Sharma, Shubham, et al.
Published: (2025)
NeuronSpark: A Spiking Neural Network Language Model with Selective State Space Dynamics
by: Tang, Zhengzheng
Published: (2026)
by: Tang, Zhengzheng
Published: (2026)
Fine-tuning of Large Language Models for Constituency Parsing Using a Sequence to Sequence Approach
by: Delgado, Francisco Jose Cortes, et al.
Published: (2025)
by: Delgado, Francisco Jose Cortes, et al.
Published: (2025)
How Human-Like Are Large Language Models? A Register-Aware Linguistic Evaluation Framework
by: Nieth, Björn, et al.
Published: (2026)
by: Nieth, Björn, et al.
Published: (2026)
Similar Items
-
CLMN: Concept based Language Models via Neural Symbolic Reasoning
by: Yang, Yibo
Published: (2025) -
AIPsy-Affect: A Keyword-Free Clinical Stimulus Battery for Mechanistic Interpretability of Emotion in Language Models
by: Keeman, Michael
Published: (2026) -
Unsolvability Ceiling in Multi-LLM Routing: An Empirical Study of Evaluation Artifacts
by: Garg, Saloni, et al.
Published: (2026) -
ProbeScale: Probing Analysis to Optimize Neural Scaling Laws for Efficient Small Language Model Inference
by: Das, Sourav
Published: (2026) -
NOTAI.AI: Explainable Detection of Machine-Generated Text via Curvature and Feature Attribution
by: Breneur, Oleksandr Marchenko, et al.
Published: (2026)