Cover Image

Memora: A Harmonic Memory Representation Balancing Abstraction and Specificity

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Xia, Menglin, Zhang, Xuchao, Dixit, Shantanu, Harimurugan, Paramaguru, Wang, Rujia, Ruhle, Victor, Sim, Robert, Bansal, Chetan, Rajmohan, Saravan
Format:	Preprint
Published:	2026
Subjects:	Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Hybrid-RACA: Hybrid Retrieval-Augmented Composition Assistance for Real-time Text Prediction
by: Xia, Menglin, et al.
Published: (2023)

AMPO: Active Multi-Preference Optimization for Self-play Preference Selection
by: Gupta, Taneesh, et al.
Published: (2025)

REFA: Reference Free Alignment for multi-preference optimization
by: Gupta, Taneesh, et al.
Published: (2024)

LEGOMem: Modular Procedural Memory for Multi-agent LLM Systems for Workflow Automation
by: Han, Dongge, et al.
Published: (2025)

Multi-Preference Optimization: Generalizing DPO via Set-Level Contrasts
by: Gupta, Taneesh, et al.
Published: (2024)

Synergistic Weak-Strong Collaboration by Aligning Preferences
by: Jiao, Yizhu, et al.
Published: (2025)

Budget-Aware Agentic Routing via Boundary-Guided Training
by: Zhang, Caiqi, et al.
Published: (2026)

Revisiting Transformer Layer Parameterization Through Causal Energy Minimization
by: Xu, Jin, et al.
Published: (2026)

X-lifecycle Learning for Cloud Incident Management using LLMs
by: Goel, Drishti, et al.
Published: (2024)

Enhancing Reasoning Capabilities of Small Language Models with Blueprints and Prompt Template Search
by: Han, Dongge, et al.
Published: (2025)

SynthAgent: Adapting Web Agents with Synthetic Supervision
by: Wang, Zhaoyang, et al.
Published: (2025)

Semantic Caching of Contextual Summaries for Efficient Question-Answering with Language Models
by: Couturier, Camille, et al.
Published: (2025)

Automated Root Causing of Cloud Incidents using In-Context Learning with GPT-4
by: Zhang, Xuchao, et al.
Published: (2024)

TurboAttention: Efficient Attention Approximation For High Throughputs LLMs
by: Kang, Hao, et al.
Published: (2024)

AIOpsLab: A Holistic Framework to Evaluate AI Agents for Enabling Autonomous Clouds
by: Chen, Yinfang, et al.
Published: (2025)

LLM Reasoning as Trajectories: Step-Specific Representation Geometry and Correctness Signals
by: Sun, Lihao, et al.
Published: (2026)

Minerva: A Programmable Memory Test Benchmark for Language Models
by: Xia, Menglin, et al.
Published: (2025)

Cost-Aware Retrieval-Augmentation Reasoning Models with Adaptive Retrieval Depth
by: Hashemi, Helia, et al.
Published: (2025)

Generative Caching for Structurally Similar Prompts and Responses
by: Chakraborty, Sarthak, et al.
Published: (2025)

Ensuring Fair LLM Serving Amid Diverse Applications
by: Khan, Redwan Ibne Seraj, et al.
Published: (2024)

AutoAdapt: An Automated Domain Adaptation Framework for LLMs
by: Sinha, Sidharth, et al.
Published: (2026)

Debugging the Debuggers: Failure-Anchored Structured Recovery for Software Engineering Agents
by: Zhao, Chenyu, et al.
Published: (2026)

WebXSkill: Skill Learning for Autonomous Web Agents
by: Wang, Zhaoyang, et al.
Published: (2026)

Intelligent Router for LLM Workloads: Improving Performance Through Workload-Aware Load Balancing
by: Jain, Kunal, et al.
Published: (2024)

Building AI Agents for Autonomous Clouds: Challenges and Design Principles
by: Shetty, Manish, et al.
Published: (2024)

From Reasoning to Answer: Empirical, Attention-Based and Mechanistic Insights into Distilled DeepSeek R1 Models
by: Zhang, Jue, et al.
Published: (2025)

Attention Enhanced Entity Recommendation for Intelligent Monitoring in Cloud Systems
by: Hussain, Fiza, et al.
Published: (2025)

ACON: Optimizing Context Compression for Long-horizon LLM Agents
by: Kang, Minki, et al.
Published: (2025)

COIN: Chance-Constrained Imitation Learning for Uncertainty-aware Adaptive Resource Oversubscription Policy
by: Wang, Lu, et al.
Published: (2024)

Exploring How LLMs Capture and Represent Domain-Specific Knowledge
by: Garcia, Mirian Hipolito, et al.
Published: (2025)

Simulating Environments with Reasoning Models for Agent Training
by: Li, Yuetai, et al.
Published: (2025)

Exploring LLM-based Agents for Root Cause Analysis
by: Roy, Devjeet, et al.
Published: (2024)

Clustering High-dimensional Data: Balancing Abstraction and Representation Tutorial at AAAI 2026
by: Plant, Claudia, et al.
Published: (2026)

Provable and Practical In-Context Policy Optimization for Self-Improvement
by: Yu, Tianrun, et al.
Published: (2026)

SageServe: Optimizing LLM Serving on Cloud Data Centers with Forecast Aware Auto-Scaling
by: Jaiswal, Shashwat, et al.
Published: (2025)

CARMO: Dynamic Criteria Generation for Context-Aware Reward Modelling
by: Gupta, Taneesh, et al.
Published: (2024)

eARCO: Efficient Automated Root Cause Analysis with Prompt Optimization
by: Goel, Drishti, et al.
Published: (2025)

Contrastive Attribution in the Wild: An Interpretability Analysis of LLM Failures on Realistic Benchmarks
by: Tan, Rongyuan, et al.
Published: (2026)

EcoAct: Economic Agent Determines When to Register What Action
by: Zhang, Shaokun, et al.
Published: (2024)

Neural Causal Abstractions
by: Xia, Kevin, et al.
Published: (2024)