CorporateBench: Large-Scale Q&A Benchmarking with Temporal Knowledge Bases

arXiv:2608.27391 · cs.AI, cs.CL, cs.IR, cs.LG · Submitted 2026-08-27 · Read on arXiv

cs.AI, cs.CL, cs.IR, cs.LG

Submitted: 2026-08-27

Updated: 2026-08-27

Terminology

• Benchmark — 32× in this paper · explained in 2 episodes
• RAG — 23× in this paper · explained in 3 episodes
• C ORPORATE B ENCH — 12× in this paper
• Benchmarking — 10× in this paper · explained in 3 episodes
• Consistency — 10× in this paper · explained in 3 episodes
• Alignment — 9× in this paper · explained in 1 episode
• Knowledge Graph — 6× in this paper · explained in 7 episodes
• Ontology — 5× in this paper · explained in 2 episodes
• Verification — 5× in this paper · explained in 2 episodes
• Adam — 4× in this paper · explained in 2 episodes
• Embeddings — 4× in this paper · explained in 2 episodes
• F1 Score — 4× in this paper · explained in 3 episodes
• Lexical Diversity — 4× in this paper · explained in 2 episodes
• Accountability — 3× in this paper · explained in 2 episodes
• Core — 2× in this paper · explained in 2 episodes
• Failure Modes — 2× in this paper · explained in 3 episodes
• Transformer — 2× in this paper · explained in 2 episodes
• Accuracy — 1× in this paper · explained in 1 episode
• Clustering — 1× in this paper · explained in 2 episodes
• Distillation — 1× in this paper · explained in 2 episodes
• Frustration — 1× in this paper · explained in 2 episodes
• Graph Construction — 1× in this paper · explained in 3 episodes
• Knowledge Base Construction — 1× in this paper · explained in 2 episodes
• Query Complexity — 1× in this paper · explained in 2 episodes
• Redundancy — 1× in this paper · explained in 2 episodes
• Scaling Laws — 1× in this paper · explained in 4 episodes
• Temporal Reasoning — 1× in this paper · explained in 2 episodes
• Trace — 1× in this paper · explained in 2 episodes
• Transformer Architecture — 1× in this paper · explained in 2 episodes
• alpha — 1× in this paper · explained in 1 episode

Sources

• L-Eval: Instituting Standardized Evaluation for Long Context Language Models
• Longformer: The Long-Document Transformer
• Current and Future Use of Large Language Models for Knowledge Work
• OneEval: Benchmarking LLM Knowledge-intensive Reasoning over Diverse Knowledge Bases
• Too Long, Didn't Model: Decomposing LLM Long-Context Understanding With Novels
• Benchmarking Deep Search over Heterogeneous Enterprise Data
• RULER: What's the Real Context Size of Your Long-Context Language Models?
• WorkArena: How Capable Are Web Agents at Solving Common Knowledge Work Tasks?
• LawBench: Benchmarking Legal Knowledge of Large Language Models
• PhantomWiki: On-Demand Datasets for Reasoning and Retrieval Evaluation
• The Llama 3 Herd of Models
• Advancing Transformer Architecture in Long-Context Large Language Models: A Comprehensive Survey
• Enhancing Question Answering for Enterprise Knowledge Bases using Large Language Models
• Scaling Laws for Neural Language Models
• One Thousand and One Pairs: A "novel" challenge for long-context language models
• Learning to Learn Semantic Parsers from Natural Language Supervision
• Multi-Relational Question Answering from Narratives: Machine Reading and Reasoning in Simulated Worlds
• Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks
• GPT-4o System Card
• EnronQA: Towards Personalized RAG over Private Documents

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