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Agent evaluation & reasoning — research landscape

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20 research records with publication and publisher charts. Metadata analysis, not executable algorithms. One stored edition, one winner.

What you receive

20 records in a downloadable JSON packet, with descriptive analysis, source links, licensing notes, and a payment receipt.

Compare candidate evaluation tasks before selecting an agent benchmark.

One saved edition · no subscription · public sources remain nonexclusive
Opening bid$25
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ClosesSep 18, 3:36 PM UTC15h 46m left
20 source records Frozen snapshot $5 increment
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Coverage in this packet

Descriptive counts of the providers actually present in this packet, publication dates and title terms. Collection freshness does not imply a new publication. Social/news inputs contribute aggregate context only; this is not sentiment truth, investment advice, or a quality ranking.

20 research records0 context signals1 source families
arxiv20
agents 10benchmark 6benchmarking 6reasoning 6evaluating 4evaluation 4agent 3llms 3
2026-0920
01
Defining AI Agents: A Compendium of Criteria, Metrics, and BenchmarksarXiv · retrieved Sep 16, 3:36 PM UTC
02
BenchShield: Formal Model-Backed Instrumentation for Reward Integrity in LLM-Agent Evaluation InfrastructurearXiv · retrieved Sep 16, 3:36 PM UTC
03
ProMediConv: Benchmarking Proactive Conversational Agents in Legal Dispute MediationarXiv · retrieved Sep 16, 3:36 PM UTC
04
Can LLMs Normalize Databases? A Benchmark and Multi-Agent Framework for Schema NormalizationarXiv · retrieved Sep 16, 3:36 PM UTC
05
From Evaluation to Enhancement: Benchmarking and Improving Think-with-Video Reasoning for Video Generative ModelsarXiv · retrieved Sep 16, 3:36 PM UTC
06
Sci-MMR: Benchmarking Multi-Step Evidence-Grounded Scientific Reasoning in Multimodal AgentsarXiv · retrieved Sep 16, 3:36 PM UTC
07
Mr.LHDR: A Benchmark for Multimodal Real-World Long-Horizon Deep Research AgentsarXiv · retrieved Sep 16, 3:36 PM UTC
08
GAUGE: When Not to Trust LLM-as-a-Judge in User-Simulated Evaluation of Task-Oriented AgentsarXiv · retrieved Sep 16, 3:36 PM UTC
09
GTA: Graph Theory Agent and Benchmark for Algorithmic Graph Reasoning with LLMsarXiv · retrieved Sep 16, 3:36 PM UTC
10
VRL-Bench: Benchmarking agents on computer control tasks under finite trial budgetsarXiv · retrieved Sep 16, 3:36 PM UTC
11
K-Bench: A Benchmark for LLM Unlearning in Agentic DeploymentsarXiv · retrieved Sep 16, 3:36 PM UTC
12
MP-Bench: Evaluating Voice Agents as a Multiparty Conversation ParticipantarXiv · retrieved Sep 16, 3:36 PM UTC
13
Embodied-BenchForge: A Closed-Loop Agentic Workflow for Embodied Benchmark ConstructionarXiv · retrieved Sep 16, 3:36 PM UTC
14
RFCLLM: Evaluating LLMs' Reasoning Ability of Network Protocol State MachinesarXiv · retrieved Sep 16, 3:36 PM UTC
15
Vibe Patenting: Evaluating LLM Judges for Professional Patent-Drafting AgentsarXiv · retrieved Sep 16, 3:36 PM UTC
16
$τ$-Elicitation: Benchmarking multi-turn entity extraction in voice agentsarXiv · retrieved Sep 16, 3:36 PM UTC
17
Identity Is More Than Recall: A Benchmark for Persistent Identity in Deployed AI AgentsarXiv · retrieved Sep 16, 3:36 PM UTC
18
Thought without systematicity? Evaluating reasoning models on rule induction tasksarXiv · retrieved Sep 16, 3:36 PM UTC
19
E2A-Bench: Benchmarking Evidence-to-Action Reliability in Financial Chart ReasoningarXiv · retrieved Sep 16, 3:36 PM UTC
20
Policy Loopholes in Agent Evaluation: When Policy Ambiguity Masquerades as Agent ErrorarXiv · retrieved Sep 16, 3:36 PM UTC

One buyer receives this analysis edition. Source metadata remains public and nonexclusive. No paper text, algorithm implementation or patent rights included.

Questions for your evaluation
  • Does the benchmark measure the tools and tasks your agent actually uses?
  • How are contamination, retries and human assistance controlled?
  • Can you reproduce the scoring method and environment?

A research shortlist and descriptive analysis. Scientific claims and performance have not been independently reproduced. Public source material remains nonexclusive.

Included fields: title, sourceUrl, retrievedAt, published, publisher, abstract, authors, tags, verification, rights.

SHA-256 71f3594ace97e8149c682eb6a7aba13aa94970aad5a0191e53d5700a5ad7d73a

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