:: Library Catalog

Image de couverture de livre

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Jain, Abhinav, Yao, Xinyu, Reps, Thomas, Jermaine, Christopher
Format:	Preprint
Publié:	2025
Sujets:	Artificial Intelligence
Accès en ligne:	https://arxiv.org/abs/2510.05363
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Prompt Tuning Strikes Back: Customizing Foundation Models with Low-Rank Prompt Adaptation
par: Jain, Abhinav, et autres
Publié: (2024)

RAG-Modulo: Solving Sequential Tasks using Experience, Critics, and Language Models
par: Jain, Abhinav, et autres
Publié: (2024)

On The Finetuning of MLIPs Through the Lens of Iterated Maps With BPTT
par: Dramko, Evan, et autres
Publié: (2025)

A-MHA*: Anytime Multi-Heuristic A*
par: Natarajan, Ramkumar, et autres
Publié: (2025)

Synapse: Trajectory-as-Exemplar Prompting with Memory for Computer Control
par: Zheng, Longtao, et autres
Publié: (2023)

KLAS: Using Similarity to Stitch Neural Networks for Improved Accuracy-Efficiency Tradeoffs
par: Sanyal, Debopam, et autres
Publié: (2026)

Beyond Self-Consistency: Ensemble Reasoning Boosts Consistency and Accuracy of LLMs in Cancer Staging
par: Chang, Chia-Hsuan, et autres
Publié: (2024)

Prompt Optimization with EASE? Efficient Ordering-aware Automated Selection of Exemplars
par: Wu, Zhaoxuan, et autres
Publié: (2024)

Automated Tensor-Relational Decomposition for Large-Scale Sparse Tensor Computation
par: Tang, Yuxin, et autres
Publié: (2026)

Mixture of Attention Schemes (MoAS): Learning to Route Between MHA, GQA, and MQA
par: Gumaan, Esmail
Publié: (2025)

COM-BOM: Bayesian Exemplar Search for Efficiently Exploring the Accuracy-Calibration Pareto Frontier
par: Luo, Gaoxiang, et autres
Publié: (2025)

Lateral Tree-of-Thoughts Surpasses ToT by Incorporating Logically-Consistent, Low-Utility Candidates
par: Madahar, Abhinav
Publié: (2025)

Teach Better or Show Smarter? On Instructions and Exemplars in Automatic Prompt Optimization
par: Wan, Xingchen, et autres
Publié: (2024)

Blended RAG: Improving RAG (Retriever-Augmented Generation) Accuracy with Semantic Search and Hybrid Query-Based Retrievers
par: Sawarkar, Kunal, et autres
Publié: (2024)

Soft Self-Consistency Improves Language Model Agents
par: Wang, Han, et autres
Publié: (2024)

Improving the Reliability of LLMs: Combining CoT, RAG, Self-Consistency, and Self-Verification
par: Kumar, Adarsh, et autres
Publié: (2025)

Contradiction Detection in RAG Systems: Evaluating LLMs as Context Validators for Improved Information Consistency
par: Gokul, Vignesh, et autres
Publié: (2025)

Whisper-MLA: Reducing GPU Memory Consumption of ASR Models based on MHA2MLA Conversion
par: Zhang, Sen, et autres
Publié: (2026)

Improving Statistical Significance in Human Evaluation of Automatic Metrics via Soft Pairwise Accuracy
par: Thompson, Brian, et autres
Publié: (2024)

DANA: Domain-Aware Neurosymbolic Agents for Consistency and Accuracy
par: Luong, Vinh, et autres
Publié: (2024)

E^2GraphRAG: Streamlining Graph-based RAG for High Efficiency and Effectiveness
par: Zhao, Yibo, et autres
Publié: (2025)

PEA: Enhancing LLM Performance on Computational-Reasoning Tasks
par: Wang, Zi, et autres
Publié: (2025)

Dual Prompt-Driven Feature Encoding for Nighttime UAV Tracking
par: Wang, Yiheng, et autres
Publié: (2026)

FB-RAG: Improving RAG with Forward and Backward Lookup
par: Chawla, Kushal, et autres
Publié: (2025)

Aligning LLMs for the Classroom with Knowledge-Based Retrieval -- A Comparative RAG Study
par: Jain, Amay, et autres
Publié: (2025)

Compressed Causal Reasoning: Quantization and GraphRAG Effects on Interventional and Counterfactual Accuracy
par: Nwaiwu, Steve, et autres
Publié: (2025)

Learning to Rotate: Temporal and Semantic Rotary Encoding for Sequential Modeling
par: Cheng, Hailing, et autres
Publié: (2026)

Characterizing Motion Encoding in Video Diffusion Timesteps
par: Baherwani, Vatsal, et autres
Publié: (2025)

SeaBird: Segmentation in Bird's View with Dice Loss Improves Monocular 3D Detection of Large Objects
par: Kumar, Abhinav, et autres
Publié: (2024)

Enhancing RAG Efficiency with Adaptive Context Compression
par: Guo, Shuyu, et autres
Publié: (2025)

Enhancing Retrieval and Managing Retrieval: A Four-Module Synergy for Improved Quality and Efficiency in RAG Systems
par: Shi, Yunxiao, et autres
Publié: (2024)

Consistent and Distinctive: LLM Benchmark Efficiency via Maximum Independent Set Prompt Selection on Similarity Graphs
par: Kjorvezir, Denica, et autres
Publié: (2026)

Beyond Captioning: Task-Specific Prompting for Improved VLM Performance in Mathematical Reasoning
par: Singh, Ayush, et autres
Publié: (2024)

RaFe: Ranking Feedback Improves Query Rewriting for RAG
par: Mao, Shengyu, et autres
Publié: (2024)

From RAG to RICHES: Retrieval Interlaced with Sequence Generation
par: Jain, Palak, et autres
Publié: (2024)

PLUM: Improving Inference Efficiency By Leveraging Repetition-Sparsity Trade-Off
par: Kuhar, Sachit, et autres
Publié: (2023)

Exemplar-condensed Federated Class-incremental Learning
par: Sun, Rui, et autres
Publié: (2024)

Enhancing LLM-Based Text Classification in Political Science: Automatic Prompt Optimization and Dynamic Exemplar Selection for Few-Shot Learning
par: Liu, Menglin, et autres
Publié: (2024)

Learning to Love Edge Cases in Formative Math Assessment: Using the AMMORE Dataset and Chain-of-Thought Prompting to Improve Grading Accuracy
par: Henkel, Owen, et autres
Publié: (2024)

Tactile Memory with Soft Robot: Robust Object Insertion via Masked Encoding and Soft Wrist
par: Kamijo, Tatsuya, et autres
Publié: (2026)