Every paper checked — nothing hidden
All papers
Every paper checked in the week of 12–18 Oct 2026 · LLM evaluation and benchmarks — nothing is hidden. Brief papers first.
All3,345In brief3More (on-topic)587Not relevant2,721Not assessed24Older45Could not confirm25Blogs with no paper54All blogs57
| Paper | Topic | Relevance | Feedback |
|---|---|---|---|
| GeopoliticalQA: Benchmarking Retrieval and Generation over Intelligence Reports Introduces a benchmark of 5,525 QA pairs from intelligence reports to evaluate RAG document- and chunk-level retrieval. Ranked #301New testPreprint6/10 suggested | LLM evaluation and benchmarks via arxiv · 12 Oct, 16:28 | On-topic Introduces GeopoliticalQA to systematically benchmark retrieval systems and LLM answer generation. | |
| Knowing Is Not Telling: Identity Ossification in LLM Representations of Trans-border Communities Proposes a diagnostic framework to study how language models compress fluid trans-border ethnic identities into rigid nation-state categories. Ranked #302Surprising resultPreprint6/10 suggested | LLM evaluation and benchmarks via arxiv · 12 Oct, 16:28 | On-topic Introduces a diagnostic framework and benchmark measuring LLM bias and representation patterns. | |
| Fear Is Not Always Fear: Variation in Emotion Label Equivalence Across Datasets Tests cross-corpus emotion classification transfer across three datasets, finding significant loss in discrimination and conceptual disagreement on labels. Ranked #303Surprising resultPreprint6/10 suggested | LLM evaluation and benchmarks via arxiv · 12 Oct, 16:28 | On-topic Evaluates cross-corpus dataset alignment and benchmark label equivalence in NLP classifiers. | |
| People Making Conversation: Evaluating How Naturally Speech Models Converse Evaluates whether real-time speech models decide to speak appropriately during natural pauses and turn ends in unscripted conversations. Ranked #304New testPreprint6/10 suggested | LLM evaluation and benchmarks via arxiv · 12 Oct, 16:28 | On-topic Presents a benchmark and evaluation protocol assessing natural turn-taking dynamics in conversational speech models. | |
| MADS: Multi-Agent Dialog Simulation for Robust Conversational Agents Generates synthetic multi-agent dialogues to benchmark conversational agent robustness against non-cooperative and adversarial user behaviors. Ranked #305New testPreprint6/10 suggested | LLM evaluation and benchmarks via arxiv · 12 Oct, 16:28 | On-topic Introduces MADS-Bench to evaluate agent robustness across failure-prone conversational trajectories. | |
| Specialized Decision Models vs. General-Purpose LLMs: Benchmarking Jev Across Knowledge, Reasoning, and Multilingual Tasks The paper benchmarks a specialized multiple-choice decision model against 19 general-purpose LLMs across knowledge, reasoning, and multilingual tasks. Ranked #306Surprising resultPreprint6/10 suggested | LLM evaluation and benchmarks via arxiv · 12 Oct, 16:28 | On-topic Compares model architectures across 13 standard LLM evaluation benchmarks and tasks. | |
| LegalRewardBench: Benchmarking Reward Models for Legal Preference Evaluation Introduces a human-verified benchmark to evaluate how accurately reward models judge language model outputs on legal tasks. Ranked #307New testPreprint6/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:17 | On-topic Introduces a benchmark evaluating reward models and LLM judges on legal preferences. | |
| Do correct answers have stable latent knowledge support? The paper proposes stability metrics to measure whether correct outputs in language models are backed by stable internal knowledge representations. Ranked #308New testPreprint6/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:18 | On-topic Introduces EpiStableBench to evaluate the internal representation stability of knowledge in LLMs. | |
| Sanzaru: Benchmarking Protocol Formation under Epistemic & Communication Asymmetry The paper introduces a benchmark evaluating how multi-agent teams develop communication protocols under asymmetric information and restricted communication channels. Ranked #309New testPreprint6/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:18 | On-topic Introduces SANZARU, a benchmark for evaluating multi-agent coordination and communication. | |
| Social Bias in Chinese Large Language Models under Social Media Expressions This paper evaluates social bias in Chinese language models across social media expressions, internet slang, and sarcastic packaging. Ranked #310New testPeer-reviewed6/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:18 | On-topic Constructs evaluation probes to benchmark social bias under social media expressions. | |
| The Company a Question Keeps: Auditing Open Jev-Style Models for Retrieval This paper audits request independence in open Jev-style retrieval models across multi-passage query states. Ranked #311Surprising resultPreprint6/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:18 | On-topic Audits evaluation reliability and behavioral flips in open retrieval checkpoints. | |
| Words to World: Benchmarking LLMs in Interactive Physical Environments Introduces a closed-loop benchmark testing language models controlling physical robotic hardware and reacting to real sensor feedback. Ranked #312New testPreprint6/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:17 | On-topic Introduces an interactive benchmark evaluating models on closed-loop execution in physical environments. | |
| ACED-Bench: Evaluating How LLM Agents Acquire and Act on Causal Evidence The paper introduces a neuro-symbolic benchmark to evaluate whether language model agents actively investigate environments and make causal decisions. Ranked #313New testPreprint6/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:17 | On-topic Introduces ACED-BENCH, a new benchmark to evaluate LLM agents on active experimentation and causal decisions. | |
| Searching for What Matters: Open-Ended Discovery of Multiple Hypotheses with Agentic Data Exploration The paper introduces an open-ended benchmark for evaluating agentic systems on discovering multiple data-supported hypotheses from tabular datasets. Ranked #314New testPreprint6/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:18 | On-topic Introduces a benchmark grounded in causal models to evaluate open-ended hypothesis discovery. | |
| NepPlural: A Human-Anchored Benchmark for Persona Annotation in Nepali Migration Discourse NepPlural provides an annotated benchmark of Nepali discourse to evaluate how reliably language models capture diverse socio-cultural personas. Ranked #315Surprising resultPreprint6/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:18 | On-topic Introduces a benchmark evaluating LLM annotation reliability and pluralistic alignment. | |
| Terrarium: Growing Personal Assistants via Scalable Synthesis of App Worlds This paper presents a framework to synthesize executable application environments and training tasks from web information for personal language agents. Ranked #316New testPreprint6/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:18 | On-topic Constructs an executable training and evaluation suite with outcome-based rubrics for personal assistants. | |
| EdgeLLM-Nano: Auditing Polar-Guided Key-Cache Compression and Consistency-Anchored Pruning on a 33.6 MB On-Device Language Model This paper audits key-cache compression and weight pruning techniques on a small edge-deployed language model testbed. Ranked #317Surprising resultPreprint6/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:18 | On-topic Proposes a fidelity evaluation metric for KV-cache compression. | |
| Diagnosing Generalization Boundaries in AI-Based Vulnerability Detection via Calibrated Embedding Distances The paper evaluates embedding distance metrics to detect generalization boundaries and distribution shifts in AI-based code vulnerability models. Ranked #318New testPreprint6/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:18 | On-topic Exposes hidden benchmark degradation in code models under out-of-distribution shifts. | |
| FinGREAT: Evaluating LLMs on Financial Graph-guided Retrieval And Typing The paper benchmarks language models on extracting and categorizing double-entry accounting relationships from corporate financial disclosure filings. Ranked #319New testPreprint6/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 15:06 | On-topic Introduces FinGREAT, a benchmark evaluating LLMs on accounting relation classification and evidence discovery. | |
| SWE-Nexus: Automated Composition of Software Engineering Tasks from Test Execution The paper introduces an automated pipeline that builds repository-level software engineering benchmarks from test execution footprints. Ranked #320New testPreprint6/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 15:06 | On-topic Introduces an automated benchmark dataset for evaluating software models. | |
| Memorizing Who, Knowing How: Benchmarking Personal and Procedural Memory for Persistent Assistants The paper introduces a benchmark to evaluate how personal assistants handle interdependent personal and procedural memories over long trajectories. Ranked #321New testPreprint6/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 15:06 | On-topic Introduces PraxisMemBench to evaluate personal and procedural agent memory. | |
| Can LLMs Anticipate Their Cruxes? Explores methods to extract the underlying decisive sub-questions that drive language model decisions across diverse generated outputs. Ranked #322Surprising resultPreprint6/10 suggested | LLM evaluation and benchmarks via arxiv · 17 Oct, 06:17 | On-topic Evaluates and extracts reasoning cruxes behind language model decision outputs. | |
| When Repeated Measurements Hurt Tabular Foundation Models The paper studies how repeated input measurements can degrade out-of-sample prediction quality in tabular foundation models. Ranked #323Surprising resultPreprint6/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:18 | On-topic Evaluates failure modes and performance drops of tabular foundation models. | |
| Are You Sure Your LLM Is Sure? Repairing and Auditing Confidence The paper introduces a framework to recalibrate, audit, and safely deploy confidence scores for language model outputs. Ranked #324New way to see a problemPreprint6/10 suggested | LLM evaluation and benchmarks via arxiv · 17 Oct, 06:17 | On-topic Presents methods for evaluating, diagnosing, and calibrating LLM confidence scores. | |
| Where Do LLM Ensemble Gains Come From? Decomposing Candidate Value, Diversity, and Aggregation The paper analyzes how language model aggregation gains divide into candidate additions and context effects under different baseline comparison setups. Ranked #325New way to see a problemPreprint6/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:17 | On-topic Analyzes evaluation methods and reference controls for measuring candidate value in LLM ensembles. | |
| Autonomous Science Bench: Evaluating AI Agents for Autonomous Scientific Discovery The authors introduce a benchmark to evaluate autonomous scientific discovery agents making iterative experimental decisions under fixed budgets. Ranked #326New testPreprint6/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:17 | On-topic Introduces a new benchmark and evaluation protocol for autonomous science agents. | |
| PRISM: Calibrating Black-Box Judges with Counterfactual Probes The authors propose a probe-based method to measure and calibrate systematic scoring biases in black-box LLM evaluation judges. Ranked #327New way to see a problemPreprint6/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:17 | On-topic Presents a method to calibrate black-box LLM-as-a-judge evaluators against human scores. | |
| A CaLLM Judge is a Better Judge: Mitigating Bias in LLM-as-a-judge This paper presents a post-hoc multicalibration framework to correct systematic biases such as position and model family in LLM evaluations. Ranked #328New way to see a problemPreprint6/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:17 | On-topic Proposes a framework to mitigate systematic biases in LLM-as-a-judge evaluation systems. | |
| CompanionSafe: From Multi-turn Safety Evaluation to Guardrails for AI Companions This paper presents an evaluation benchmark and guardrail framework for detecting safety risks in multi-turn interactions with AI companions. Ranked #329New testPreprint6/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:17 | On-topic Introduces a benchmark evaluating conversational model safety over multi-turn interactions. | |
| One-Sided Verification Under Limited Expert Review This paper proposes decoupling error proposing from error validation to filter invalid candidates under budget constraints for expert human review. Ranked #330New way to see a problemPreprint6/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:17 | On-topic Provides a framework and benchmark evaluation for verifying the correctness of scientific outputs. | |
| Benchmarking and Training Reward Models for Cross-Source Evidence Grounding in Search Agents This paper introduces an evaluation framework and reward models to assess how well search agents ground generated answers in retrieved, independent sources. Ranked #331New testPreprint6/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:17 | On-topic Introduces a decision-tree evaluation framework and benchmark (CSEG-Bench) for source grounding in search agents. | |
| Checking the Checkers: A Synthesis of Verifier Noise and Robustness in RLVR This survey analyzes how verifier noise affects reinforcement learning with verifiable rewards across 58 studies and summarizes practical mitigation techniques. Ranked #332New way to see a problemPreprint6/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:17 | On-topic Synthesizes verifier errors, judge reliability, and reward failure modes in RLVR training. | |
| Empowering Edge Agents: A Systematic Analysis of Edge-Cloud Collaboration in LLM Agent Execution This paper presents a benchmark to evaluate performance, resource usage, and privacy trade-offs when language model agents collaborate across edge and cloud environments. Ranked #333New testPreprint6/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:17 | On-topic Introduces EC2-Bench to measure agent performance, resource usage, and privacy exposure in edge-cloud workflows. | |
| Evaluating the Causal Faithfulness of SHAP as a Candidate Attribution Method for SAE Features Evaluates SHAP attribution methods on sparse autoencoder features, finding weak correspondence with direct causal feature intervention in language models. Ranked #334Surprising resultPreprint6/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:17 | On-topic Evaluates the causal faithfulness and reliability of feature attribution methods for language models. | |
| Socratic Skill Learning: Interleaving Teaching and Practice for Transferable Agent Skills Introduces Socratic Skill Learning, interleaving expert guidance with student practice to produce reusable and transferable agent skills across tasks. Ranked #335New testPreprint6/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:17 | On-topic Introduces SkillTransferBench to measure whether learned agent skills transfer across task families. | |
| Can Agents Truly Forget? Explore Machine Unlearning for LLM Agents Formulates machine unlearning for LLM agents across parametric memory, external persistent storage, and tool-accessible environments. Ranked #336New way to see a problemPreprint6/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:17 | On-topic Introduces AUBench, a benchmark to evaluate machine unlearning in LLM agents. | |
| claimcheck: Measuring and Improving Specification Faithfulness The paper presents a benchmark to evaluate whether formal specifications generated by language models accurately reflect natural-language requirements. Ranked #337New testPreprint6/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:17 | On-topic Introduces a benchmark for testing natural language to formal specification faithfulness. | |
| IsoVRBench: Video Reward Modeling Without Human Feedback The paper presents a benchmark of synthetic paired comparisons to evaluate video reward models across specific visual and motion dimensions. Ranked #338New testPreprint6/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:17 | On-topic Introduces IsoVRBench, a benchmark for evaluating video reward models. | |
| VL-DocIR: A Benchmark for Vision-Based Long Document Information Retrieval Introduces a visual document retrieval benchmark focused on multi-page and cross-document evidence configurations in long documents. Ranked #339New testPreprint6/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:17 | On-topic Introduces VL-DocIR, a new benchmark for evaluating vision-based long-document retrieval. | |
| StableJudge: A Lightweight Adversarial Defense Framework for LLM-as-a-Judge The paper presents StableJudge, an external lightweight sentry model that sanitizes prompt-injection attacks before LLM-as-a-judge scoring. Ranked #340New way to see a problemPreprint6/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:17 | On-topic Protects LLM-as-a-judge scoring frameworks from score-hijacking prompt injection attacks. | |
| LLM-based User-Product Relevance Evaluation for Dynamic Product Advertising The paper introduces a large language model-based metric for offline evaluation of user-product relevance in dynamic product advertising retrieval. Ranked #341New way to see a problemPreprint6/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:17 | On-topic Proposes an LLM-as-a-judge metric and framework for evaluating retrieval systems. | |
| VisExMEM: Visual Evidence-Based Explainable Multimodal Evaluation Metric Presents a reference-free evaluation metric that decomposes captions into atomic claims and verifies them against visual evidence. Ranked #342New testPreprint6/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:17 | On-topic Introduces a claim-level, explainable evaluation metric and benchmark for image-text assessment. | |
| SLS-Bench: A Benchmark for Incident Log Summarization with Synthetic Observability Data Introduces a benchmark of synthetic observability data and incident reports to evaluate automated incident log summarization. Ranked #343New testPreprint6/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:17 | On-topic Presents SLS-Bench, a new benchmark dataset for evaluating incident summarization. | |
| HyWe: Unifying Search and Operation for Real-World Hybrid Web Tasks Introduces a 35B model, trajectory pipeline, and benchmark unifying search and browser interaction within a single web agent. Ranked #344New way to see a problemPreprint6/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:17 | On-topic Introduces HyWeBench to evaluate web agent performance on complex interactive tasks. | |
| Learning to GUIDE the Group: Self-Learning LLM Facilitation Across Multi-Party Tasks Presents a framework for developing language model facilitators that balance group dynamics, psychological safety, and task goals across multi-party conversations. Ranked #345New way to see a problemPreprint6/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:17 | On-topic Introduces an evaluation framework assessing facilitator models on objective and subjective metrics. | |
| Query Your Way Out: Benchmarking Multi-Turn Knowledge Reasoning through Generalized Puzzle Solving This paper introduces the Active Probing Benchmark to evaluate multi-turn active questioning and specialized domain reasoning in language models. Ranked #346Surprising resultPreprint6/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:17 | On-topic Introduces a multi-turn benchmark to evaluate knowledge reasoning and active probing. | |
| RetryBench: Separating Retry Permission from Recovery Outcomes in GPT Tool Use The paper presents a benchmark evaluating how language model agents handle unauthorized tool call retries after receiving timeouts. Ranked #347New testPreprint6/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:17 | On-topic Introduces RetryBench to evaluate agent failure handling and tool retry behaviors. | |
| Google Earth AI Geospatial Reasoning Agent: Capabilities and a Systematic Evaluation The paper presents Google Earth AI's geospatial reasoning agent along with evaluation benchmarks for complex multi-step geospatial workflows. Ranked #348New testPreprint6/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:17 | On-topic Releases GeoExpertQueries and GeoKTools benchmarks to systematically evaluate geospatial agent workflows. | |
| CoverSynth: Coverage-Guided Generation of Retrieval Evaluation Sets This paper introduces a synthetic data generation and assessment framework designed to produce comprehensive evaluation benchmarks for enterprise retrieval systems. Ranked #349New testPreprint6/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:17 | On-topic Introduces an assessment framework and generator for enterprise retrieval evaluation sets. | |
| CodeWalk: Generating Coding Benchmarks by Walking a Problem Graph The paper presents CodeWalk, a method to create challenging coding benchmarks at low cost by programmatically composing verified atomic problems. Ranked #350New testPreprint6/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:17 | On-topic Introduces a compositional method for constructing challenging coding evaluation benchmarks. | |
| UDHRBench: Benchmarking Human Rights in Large Language Models Evaluates commercial language models against Universal Declaration of Human Rights principles, revealing misalignments driven by efficiency arguments. Ranked #351New testPreprint6/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:17 | On-topic Introduces UDHRBench and an LLM-as-a-judge framework to evaluate model compliance with human rights. | |
| SkillForgeBench: Evaluating Agent Reliability Grounded in Agent Skill Specifications This paper introduces a benchmark that uses agent skill specifications to evaluate the reliability and procedural correctness of AI agents. Ranked #352New testPreprint6/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:17 | On-topic Presents a novel benchmark and rubric-based evaluation design for complex agentic tasks. | |
| WorkBorne: Discovering Agentic Tasks from Real-World Artifact Transitions This paper presents a framework for discovering and synthesizing terminal-based agent tasks grounded in real-world artifact transitions. Ranked #353New way to see a problemPreprint6/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:17 | On-topic Proposes a framework for synthesizing realistic benchmarks to evaluate agent execution. | |
| Are Multimodal Benchmarks Really Useful? Item-Level Multimodal Benchmark Diagnosis via Structure-Response Co-Calibration The paper introduces a diagnosis framework to evaluate whether multimodal benchmark items genuinely require multi-image reasoning rather than unimodal shortcuts. Ranked #354New way to see a problemPreprint6/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 06:17 | On-topic Diagnoses multimodal benchmarks to detect shortcut items and evaluate benchmark validity. | |
| Can LLM Agents Efficiently Identify Appliance Faults? Insights From Diagnosing a Simulated Appliance The paper evaluates the ability of language model agents to diagnose appliance faults using a simulated appliance benchmark based on sensor data. Ranked #355New testPreprint6/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 15:06 | On-topic Introduces CoffeeBench to benchmark LLM diagnostic reasoning on simulated machinery. | |
| Scaling Multilingual Safety and Reasoning Evaluation through Reasoning-Guided Translation The paper introduces a reasoning-guided translation framework to scale multilingual safety and reasoning benchmarks while preserving original task meanings. Ranked #356New way to see a problemPreprint6/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 15:06 | On-topic Develops a framework and collection for multilingual LLM safety and reasoning evaluation. | |
| Cross-Model In-Context Neurofeedback Reveals (Limited) Activation Control in LLMs The paper uses in-context neurofeedback sessions to evaluate whether language models can intentionally control their internal activations. Ranked #357Surprising resultPreprint6/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 15:06 | On-topic Designs an evaluation method to test whether LLMs can intentionally control their internal activations. | |
| MultiPartyTurnBench: Benchmarking Floor Control in Multi-Party Spoken Dialogue The paper introduces a benchmark to evaluate conversational floor control, turn completion, and interruptions in multi-party spoken dialogue systems. Ranked #358New testPreprint6/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 15:06 | On-topic Introduces MultiPartyTurnBench, a new benchmark evaluating conversational floor control and turn-taking. | |
| EvalBuilder: Can LLMs Build Efficient Benchmarks? The paper presents a framework to evaluate whether language model agents can build lower-cost benchmark tests that match reference evaluations. Ranked #359New testPreprint6/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 15:06 | On-topic Proposes a meta-evaluation framework to evaluate the quality and efficiency of generated benchmarks. | |
| Learning When to Trust Medical Knowledge: Regression-Safe Routing for Clinical Reasoning The paper introduces a benchmark for medical knowledge poisoning and a routing controller that selectively avoids unreliable retrieved evidence during clinical reasoning. Ranked #360New way to see a problemPreprint6/10 suggested | LLM evaluation and benchmarks via arxiv · 15 Oct, 15:06 | On-topic Introduces a medical knowledge-poisoning benchmark to evaluate retrieval and reasoning robustness. |
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