IBM Research

company

https://research.ibm.com/

AI & ML interests

Enterprise AI and ML, Foundation Models, Responsible AI

Papers

DRACO: Fine-Grained Credit Assignment with Dynamic Rubrics for Long-Horizon Agent Training

Evoflux: Inference-Time Evolution of Executable Tool Workflows for Compact Agents

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Articles

Ensemble forecasting with IBM Granite time-series models

ALTK-Evolve: How learned memory tops the τ²-bench leaderboard on customer service tasks without a frontier model

Your Agent Aced the Task. Will It Do It Again?

IBM releases SOTA Granite Time Series PatchTST-FM-r2 model with commercial-friendly license

Real-Time Intelligence with IBM Time Series Models on Confluent

How Much Memory Does Your Agent Actually Need?

Thinking of ACE? We Can Do It with Fewer Tokens

Model Routing Is Simple. Until It Isn’t.

ScarfBench: Benchmarking AI Agents for Enterprise Java Framework Migration

Build real agentic apps using CUGA: two dozen working examples on a lightweight harness

Beyond LLMs: Why Scalable Enterprise AI Adoption Depends on Agent Logic

ITBench-AA: Frontier Models Score Below 50% on the First Benchmark for Agentic Enterprise IT Tasks — by Artificial Analysis and IBM

The Open Agent Leaderboard

Inside VAKRA: Reasoning, Tool Use, and Failure Modes of Agents

ALTK‑Evolve: On‑the‑Job Learning for AI Agents

IBM and UC Berkeley Diagnose Why Enterprise Agents Fail Using IT-Bench and MAST

AssetOpsBench: Bridging the Gap Between AI Agent Benchmarks and Industrial Reality

CUGA on Hugging Face: Democratizing Configurable AI Agents

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ibm-research 's models 370

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