Saved in:
| Main Authors: | Gayen, Avijit, Chakraborty, Somyajit, Sen, Mainak, Paul, Soham, Jana, Angshuman |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2505.21689 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Bridging Through Absence: How Comeback Researchers Bridge Knowledge Gaps Through Structural Re-emergence
by: Chakraborty, Somyajit, et al.
Published: (2026)
by: Chakraborty, Somyajit, et al.
Published: (2026)
Trust@Health: A Trust-Based Multilayered Network for Scalable Healthcare Service Management
by: Gayen, Avijit, et al.
Published: (2025)
by: Gayen, Avijit, et al.
Published: (2025)
Learning Rate Scaling across LoRA Ranks and Transfer to Full Finetuning
by: Chen, Nan, et al.
Published: (2026)
by: Chen, Nan, et al.
Published: (2026)
JuStRank: Benchmarking LLM Judges for System Ranking
by: Gera, Ariel, et al.
Published: (2024)
by: Gera, Ariel, et al.
Published: (2024)
CoRA: Optimizing Low-Rank Adaptation with Common Subspace of Large Language Models
by: Xiao, Xiaojun, et al.
Published: (2024)
by: Xiao, Xiaojun, et al.
Published: (2024)
Diff-eRank: A Novel Rank-Based Metric for Evaluating Large Language Models
by: Wei, Lai, et al.
Published: (2024)
by: Wei, Lai, et al.
Published: (2024)
MatryoshkaLoRA: Learning Accurate Hierarchical Low-Rank Representations for LLM Fine-Tuning
by: Modoranu, Ionut-Vlad, et al.
Published: (2026)
by: Modoranu, Ionut-Vlad, et al.
Published: (2026)
The RL/LLM Taxonomy Tree: Reviewing Synergies Between Reinforcement Learning and Large Language Models
by: Pternea, Moschoula, et al.
Published: (2024)
by: Pternea, Moschoula, et al.
Published: (2024)
Language-specific Neurons Do Not Facilitate Cross-Lingual Transfer
by: Mondal, Soumen Kumar, et al.
Published: (2025)
by: Mondal, Soumen Kumar, et al.
Published: (2025)
Needle in the Haystack for Memory Based Large Language Models
by: Nelson, Elliot, et al.
Published: (2024)
by: Nelson, Elliot, et al.
Published: (2024)
Learning to Rank Chain-of-Thought: Using a Small Model
by: Jiang, Eric Hanchen, et al.
Published: (2025)
by: Jiang, Eric Hanchen, et al.
Published: (2025)
Multiple Choice Learning of Low-Rank Adapters for Language Modeling
by: Letzelter, Victor, et al.
Published: (2025)
by: Letzelter, Victor, et al.
Published: (2025)
Context-Enhanced Contrastive Search for Improved LLM Text Generation
by: Sen, Jaydip, et al.
Published: (2025)
by: Sen, Jaydip, et al.
Published: (2025)
Large Language Model Confidence Estimation via Black-Box Access
by: Pedapati, Tejaswini, et al.
Published: (2024)
by: Pedapati, Tejaswini, et al.
Published: (2024)
Group Distributionally Robust Optimization-Driven Reinforcement Learning for LLM Reasoning
by: Panaganti, Kishan, et al.
Published: (2026)
by: Panaganti, Kishan, et al.
Published: (2026)
SuRe: Surprise-Driven Prioritised Replay for Continual LLM Learning
by: Hazard, Hugo, et al.
Published: (2025)
by: Hazard, Hugo, et al.
Published: (2025)
EffiPair: Improving the Efficiency of LLM-generated Code with Relative Contrastive Feedback
by: Hajizadeh, Samira, et al.
Published: (2026)
by: Hajizadeh, Samira, et al.
Published: (2026)
LLM Surgery: Efficient Knowledge Unlearning and Editing in Large Language Models
by: Veldanda, Akshaj Kumar, et al.
Published: (2024)
by: Veldanda, Akshaj Kumar, et al.
Published: (2024)
Re-evaluating Automatic LLM System Ranking for Alignment with Human Preference
by: Gao, Mingqi, et al.
Published: (2024)
by: Gao, Mingqi, et al.
Published: (2024)
Low-Rank Adapters Meet Neural Architecture Search for LLM Compression
by: Muñoz, J. Pablo, et al.
Published: (2025)
by: Muñoz, J. Pablo, et al.
Published: (2025)
Deep Dense Exploration for LLM Reinforcement Learning via Pivot-Driven Resampling
by: Guo, Yiran, et al.
Published: (2026)
by: Guo, Yiran, et al.
Published: (2026)
StealthRank: LLM Ranking Manipulation via Stealthy Prompt Optimization
by: Tang, Yiming, et al.
Published: (2025)
by: Tang, Yiming, et al.
Published: (2025)
Code Comprehension then Auditing for Unsupervised LLM Evaluation
by: Patel, Bhrij, et al.
Published: (2024)
by: Patel, Bhrij, et al.
Published: (2024)
SentinelLMs: Encrypted Input Adaptation and Fine-tuning of Language Models for Private and Secure Inference
by: Mishra, Abhijit, et al.
Published: (2023)
by: Mishra, Abhijit, et al.
Published: (2023)
Too Long, Didn't Model: Decomposing LLM Long-Context Understanding With Novels
by: Hamilton, Sil, et al.
Published: (2025)
by: Hamilton, Sil, et al.
Published: (2025)
Preference Learning Algorithms Do Not Learn Preference Rankings
by: Chen, Angelica, et al.
Published: (2024)
by: Chen, Angelica, et al.
Published: (2024)
PRECISE: Reducing the Bias of LLM Evaluations Using Prediction-Powered Ranking Estimation
by: Divekar, Abhishek, et al.
Published: (2026)
by: Divekar, Abhishek, et al.
Published: (2026)
Leveraging Parameter Space Symmetries for Reasoning Skill Transfer in LLMs
by: Horoi, Stefan, et al.
Published: (2025)
by: Horoi, Stefan, et al.
Published: (2025)
Learning Under Laws: A Constraint-Projected Neural PDE Solver that Eliminates Hallucinations
by: Singha, Mainak
Published: (2025)
by: Singha, Mainak
Published: (2025)
SwitchLoRA: Switched Low-Rank Adaptation Can Learn Full-Rank Information
by: Zhou, Kaiye, et al.
Published: (2024)
by: Zhou, Kaiye, et al.
Published: (2024)
LightTransfer: Your Long-Context LLM is Secretly a Hybrid Model with Effortless Adaptation
by: Zhang, Xuan, et al.
Published: (2024)
by: Zhang, Xuan, et al.
Published: (2024)
Learning Adapter Rank via Symmetry Breaking
by: Doyle, Cooper, et al.
Published: (2025)
by: Doyle, Cooper, et al.
Published: (2025)
LoX: Low-Rank Extrapolation Robustifies LLM Safety Against Fine-tuning
by: Perin, Gabriel J., et al.
Published: (2025)
by: Perin, Gabriel J., et al.
Published: (2025)
OrthoRank: Token Selection via Sink Token Orthogonality for Efficient LLM inference
by: Shin, Seungjun, et al.
Published: (2025)
by: Shin, Seungjun, et al.
Published: (2025)
A Scalable Multi-LLM Collaboration System with Retrieval-based Selection and Exploration-Exploitation-Driven Enhancement
by: Tang, Shengji, et al.
Published: (2025)
by: Tang, Shengji, et al.
Published: (2025)
Transfer Learning of Tabular Data by Finetuning Large Language Models
by: Rabbani, Shourav B., et al.
Published: (2025)
by: Rabbani, Shourav B., et al.
Published: (2025)
AutoLoRA: Automatically Tuning Matrix Ranks in Low-Rank Adaptation Based on Meta Learning
by: Zhang, Ruiyi, et al.
Published: (2024)
by: Zhang, Ruiyi, et al.
Published: (2024)
Batched Low-Rank Adaptation of Foundation Models
by: Wen, Yeming, et al.
Published: (2023)
by: Wen, Yeming, et al.
Published: (2023)
ChameleonLLM: Batch-Aware Dynamic Low-Rank Adaptation via Inference-Time Clusters
by: Yuksel, Kamer Ali, et al.
Published: (2025)
by: Yuksel, Kamer Ali, et al.
Published: (2025)
Large Scale Transfer Learning for Tabular Data via Language Modeling
by: Gardner, Josh, et al.
Published: (2024)
by: Gardner, Josh, et al.
Published: (2024)
Similar Items
-
Bridging Through Absence: How Comeback Researchers Bridge Knowledge Gaps Through Structural Re-emergence
by: Chakraborty, Somyajit, et al.
Published: (2026) -
Trust@Health: A Trust-Based Multilayered Network for Scalable Healthcare Service Management
by: Gayen, Avijit, et al.
Published: (2025) -
Learning Rate Scaling across LoRA Ranks and Transfer to Full Finetuning
by: Chen, Nan, et al.
Published: (2026) -
JuStRank: Benchmarking LLM Judges for System Ranking
by: Gera, Ariel, et al.
Published: (2024) -
CoRA: Optimizing Low-Rank Adaptation with Common Subspace of Large Language Models
by: Xiao, Xiaojun, et al.
Published: (2024)