HFEPX Daily Archive: 2026-03-04

Researcher Quick Triage

Use this archive page for time-slice monitoring (what changed in evaluation methods, metrics, and protocol quality this period). Quality band: High .

• 0 papers report explicit quality controls for this archive period.
• Prioritize papers with both benchmark and metric anchors for reliable longitudinal comparisons.

Primary action: Use this slice as early signal only; benchmark/metric anchoring is limited for rigorous period-over-period claims.

Why This Time Slice Matters

• 5.6% of papers report explicit human-feedback signals, led by pairwise preferences.
• automatic metrics appears in 7.4% of papers in this hub.
• SWE-bench is a recurring benchmark anchor for cross-paper comparisons in this page.

Protocol Takeaways For This Period

• Quality-control reporting is sparse in this slice; prioritize papers with explicit calibration or adjudication steps.
• Rater context is mostly unspecified rater pools, and annotation is commonly pairwise annotation; use this to scope replication staffing.
• Stratify by benchmark (SWE-bench vs AIME) before comparing methods.

Start Here (Highest-Signal Papers In This Slice)

Ranked by protocol completeness and evidence density for faster period-over-period review.

• AILS-NTUA at SemEval-2026 Task 12: Graph-Based Retrieval and Reflective Prompting for Abductive Event Reasoning

  Mar 4, 2026 · Citations: 0 · Score: 7.5

  Eval: Automatic Metrics · Metrics: Accuracy

• $V_1$: Unifying Generation and Self-Verification for Parallel Reasoners

  Mar 4, 2026 · Citations: 0 · Score: 7.5

  Eval: Automatic Metrics · Metrics: Pass@1

• AgentIR: Reasoning-Aware Retrieval for Deep Research Agents

  Mar 4, 2026 · Citations: 0 · Score: 6.5

  Eval: Automatic Metrics · Metrics: Accuracy

• Vibe Code Bench: Evaluating AI Models on End-to-End Web Application Development

  Mar 4, 2026 · Citations: 0 · Score: 6.0

  Eval: Automatic Metrics · Metrics: Accuracy, Agreement

• Why Are Linear RNNs More Parallelizable?

  Mar 4, 2026 · Citations: 0 · Score: 4.0

  Eval: Not reported · Metrics: Precision

• From Static Inference to Dynamic Interaction: A Survey of Streaming Large Language Models

  Mar 4, 2026 · Citations: 0 · Score: 2.5

  Eval: Not reported · Metrics: Not reported

Protocol Matrix (Top 10)

Quickly compare method ingredients across this archive slice.

Papers In This Archive Slice

• Optimizing Language Models for Crosslingual Knowledge Consistency

  Tianyu Liu, Jirui Qi, Mrinmaya Sachan, Ryan Cotterell, Raquel Fernández · Mar 4, 2026 · Citations: 0
• Using Vision + Language Models to Predict Item Difficulty

  Samin Khan · Mar 4, 2026 · Citations: 0
• Stan: An LLM-based thermodynamics course assistant

  Eric M. Furst, Vasudevan Venkateshwaran · Mar 4, 2026 · Citations: 0
• iAgentBench: Benchmarking Sensemaking Capabilities of Information-Seeking Agents on High-Traffic Topics

  Preetam Prabhu Srikar Dammu, Arnav Palkhiwala, Tanya Roosta, Chirag Shah · Mar 4, 2026 · Citations: 0
• Coordinated Semantic Alignment and Evidence Constraints for Retrieval-Augmented Generation with Large Language Models

  Xin Chen, Saili Uday Gadgil, Jiarong Qiu · Mar 4, 2026 · Citations: 0
• Vibe Code Bench: Evaluating AI Models on End-to-End Web Application Development

  Hung Tran, Langston Nashold, Rayan Krishnan, Antoine Bigeard, Alex Gu · Mar 4, 2026 · Citations: 0

  Pairwise Preference Web Browsing

  We introduce Vibe Code Bench, a benchmark of 100 web application specifications (50 public validation, 50 held-out test) with 964 browser-based workflows comprising 10,131 substeps, evaluated against deployed applications by an autonomous…

• Bootstrapping Exploration with Group-Level Natural Language Feedback in Reinforcement Learning

  Lei Huang, Xiang Cheng, Chenxiao Zhao, Guobin Shen, Junjie Yang · Mar 4, 2026 · Citations: 0
• From Static Inference to Dynamic Interaction: A Survey of Streaming Large Language Models

  Junlong Tong, Zilong Wang, YuJie Ren, Peiran Yin, Hao Wu · Mar 4, 2026 · Citations: 0

  Abstract shows limited direct human-feedback or evaluation-protocol detail; use as adjacent methodological context.

• Adaptive Memory Admission Control for LLM Agents

  Guilin Zhang, Wei Jiang, Xiejiashan Wang, Aisha Behr, Kai Zhao · Mar 4, 2026 · Citations: 0
• Still Fresh? Evaluating Temporal Drift in Retrieval Benchmarks

  Nathan Kuissi, Suraj Subrahmanyan, Nandan Thakur, Jimmy Lin · Mar 4, 2026 · Citations: 0
• AgentIR: Reasoning-Aware Retrieval for Deep Research Agents

  Zijian Chen, Xueguang Ma, Shengyao Zhuang, Jimmy Lin, Akari Asai · Mar 4, 2026 · Citations: 0

  To exploit this overlooked signal, we introduce: (1) Reasoning-Aware Retrieval, a retrieval paradigm that jointly embeds the agent's reasoning trace alongside its query; and (2) DR-Synth, a data synthesis method that generates Deep Research…

• TaxonRL: Reinforcement Learning with Intermediate Rewards for Interpretable Fine-Grained Visual Reasoning

  Maximilian von Klinski, Maximilian Schall · Mar 4, 2026 · Citations: 0
• $τ$-Knowledge: Evaluating Conversational Agents over Unstructured Knowledge

  Quan Shi, Alexandra Zytek, Pedram Razavi, Karthik Narasimhan, Victor Barres · Mar 4, 2026 · Citations: 0
• Dual-Modality Multi-Stage Adversarial Safety Training: Robustifying Multimodal Web Agents Against Cross-Modal Attacks

  Haoyu Liu, Dingcheng Li, Lukas Rutishauser, Zeyu Zheng · Mar 4, 2026 · Citations: 0
• Pointer-CAD: Unifying B-Rep and Command Sequences via Pointer-based Edges & Faces Selection

  Dacheng Qi, Chenyu Wang, Jingwei Xu, Tianzhe Chu, Zibo Zhao · Mar 4, 2026 · Citations: 0
• AILS-NTUA at SemEval-2026 Task 12: Graph-Based Retrieval and Reflective Prompting for Abductive Event Reasoning

  Nikolas Karafyllis, Maria Lymperaiou, Giorgos Filandrianos, Athanasios Voulodimos, Giorgos Stamou · Mar 4, 2026 · Citations: 0

  Pairwise Preference

  We present a winning three-stage system for SemEval 2026 Task~12: Abductive Event Reasoning that combines graph-based retrieval, LLM-driven abductive reasoning with prompt design optimized through reflective prompt evolution, and post-hoc…

• World Properties without World Models: Recovering Spatial and Temporal Structure from Co-occurrence Statistics in Static Word Embeddings

  Elan Barenholtz · Mar 4, 2026 · Citations: 0
• $V_1$: Unifying Generation and Self-Verification for Parallel Reasoners

  Harman Singh, Xiuyu Li, Kusha Sareen, Monishwaran Maheswaran, Sijun Tan · Mar 4, 2026 · Citations: 0

  Pairwise Preference

  On code generation (LiveCodeBench, CodeContests, SWE-Bench) and math reasoning (AIME, HMMT) benchmarks, V_1-Infer improves Pass@1 by up to 10% over pointwise verification and outperforms recent test-time scaling methods while being…

• The Company You Keep: How LLMs Respond to Dark Triad Traits

  Zeyi Lu, Angelica Henestrosa, Pavel Chizhov, Ivan P. Yamshchikov · Mar 4, 2026 · Citations: 0
• Position: Vector Prompt Interfaces Should Be Exposed to Enable Customization of Large Language Models

  Liangwei Yang, Shiyu Wang, Haolin Chen, Rithesh Murthy, Ming Zhu · Mar 4, 2026 · Citations: 0
• Causality Elicitation from Large Language Models

  Takashi Kameyama, Masahiro Kato, Yasuko Hio, Yasushi Takano, Naoto Minakawa · Mar 4, 2026 · Citations: 0
• Memex(RL): Scaling Long-Horizon LLM Agents via Indexed Experience Memory

  Zhenting Wang, Huancheng Chen, Jiayun Wang, Wei Wei · Mar 4, 2026 · Citations: 0
• Retrieval or Representation? Reassessing Benchmark Gaps in Multilingual and Visually Rich RAG

  Martin Asenov, Kenza Benkirane, Dan Goldwater, Aneiss Ghodsi · Mar 4, 2026 · Citations: 0
• When Do Language Models Endorse Limitations on Human Rights Principles?

  Keenan Samway, Nicole Miu Takagi, Rada Mihalcea, Bernhard Schölkopf, Ilias Chalkidis · Mar 4, 2026 · Citations: 0
• Code Fingerprints: Disentangled Attribution of LLM-Generated Code

  Jiaxun Guo, Ziyuan Yang, Mengyu Sun, Hui Wang, Jingfeng Lu · Mar 4, 2026 · Citations: 0
• Bielik-Q2-Sharp: A Comparative Study of Extreme 2-bit Quantization Methods for a Polish 11B Language Model

  Jakub Prejzner · Mar 4, 2026 · Citations: 0

  We present Bielik-Q2-Sharp, the first systematic academic evaluation of extreme 2-bit quantization applied to a Polish large language model.

• Traces of Social Competence in Large Language Models

  Tom Kouwenhoven, Michiel van der Meer, Max van Duijn · Mar 4, 2026 · Citations: 0
• VietNormalizer: An Open-Source, Dependency-Free Python Library for Vietnamese Text Normalization in TTS and NLP Applications

  Hung Vu Nguyen, Loan Do, Thanh Ngoc Nguyen, Ushik Shrestha Khwakhali, Thanh Pham · Mar 4, 2026 · Citations: 0
• BeamPERL: Parameter-Efficient RL with Verifiable Rewards Specializes Compact LLMs for Structured Beam Mechanics Reasoning

  Tarjei Paule Hage, Markus J. Buehler · Mar 4, 2026 · Citations: 0
• FINEST: Improving LLM Responses to Sensitive Topics Through Fine-Grained Evaluation

  Juhyun Oh, Nayeon Lee, Chani Jung, Jiho Jin, Junho Myung · Mar 4, 2026 · Citations: 0
• Hindsight Quality Prediction Experiments in Multi-Candidate Human-Post-Edited Machine Translation

  Malik Marmonier, Benoît Sagot, Rachel Bawden · Mar 4, 2026 · Citations: 0
• Monitoring Emergent Reward Hacking During Generation via Internal Activations

  Patrick Wilhelm, Thorsten Wittkopp, Odej Kao · Mar 4, 2026 · Citations: 0
• Who Judges the Judge? Evaluating LLM-as-a-Judge for French Medical open-ended QA

  Ikram Belmadani, Oumaima El Khettari, Pacôme Constant dit Beaufils, Richard Dufour, Benoit Favre · Mar 4, 2026 · Citations: 0
• Rethinking Role-Playing Evaluation: Anonymous Benchmarking and a Systematic Study of Personality Effects

  Ji-Lun Peng, Yun-Nung Chen · Mar 4, 2026 · Citations: 0
• From Threat Intelligence to Firewall Rules: Semantic Relations in Hybrid AI Agent and Expert System Architectures

  Chiara Bonfanti, Davide Colaiacomo, Luca Cagliero, Cataldo Basile · Mar 4, 2026 · Citations: 0
• IROSA: Interactive Robot Skill Adaptation using Natural Language

  Markus Knauer, Samuel Bustamante, Thomas Eiband, Alin Albu-Schäffer, Freek Stulp · Mar 4, 2026 · Citations: 0
• CzechTopic: A Benchmark for Zero-Shot Topic Localization in Historical Czech Documents

  Martin Kostelník, Michal Hradiš, Martin Dočekal · Mar 4, 2026 · Citations: 0
• On the Suitability of LLM-Driven Agents for Dark Pattern Audits

  Chen Sun, Yash Vekaria, Rishab Nithyanand · Mar 4, 2026 · Citations: 0
• Assessing the Effectiveness of LLMs in Delivering Cognitive Behavioral Therapy

  Navdeep Singh Bedi, Ana-Maria Bucur, Noriko Kando, Fabio Crestani · Mar 4, 2026 · Citations: 0
• Coupling Local Context and Global Semantic Prototypes via a Hierarchical Architecture for Rhetorical Roles Labeling

  Anas Belfathi, Nicolas Hernandez, Laura Monceaux, Warren Bonnard, Mary Catherine Lavissiere · Mar 4, 2026 · Citations: 0
• Benchmarking Motivational Interviewing Competence of Large Language Models

  Aishwariya Jha, Prakrithi Shivaprakash, Lekhansh Shukla, Animesh Mukherjee, Prabhat Chand · Mar 4, 2026 · Citations: 0
• Semantic Bridging Domains: Pseudo-Source as Test-Time Connector

  Xizhong Yang, Huiming Wang, Ning Xu, Mofei Song · Mar 4, 2026 · Citations: 0
• In-Context Environments Induce Evaluation-Awareness in Language Models

  Maheep Chaudhary · Mar 4, 2026 · Citations: 0
• SWE-CI: Evaluating Agent Capabilities in Maintaining Codebases via Continuous Integration

  Jialong Chen, Xander Xu, Hu Wei, Chuan Chen, Bing Zhao · Mar 4, 2026 · Citations: 0
• T2S-Bench & Structure-of-Thought: Benchmarking and Prompting Comprehensive Text-to-Structure Reasoning

  Qinsi Wang, Hancheng Ye, Jinhee Kim, Jinghan Ke, Yifei Wang · Mar 4, 2026 · Citations: 0
• MOOSE-Star: Unlocking Tractable Training for Scientific Discovery by Breaking the Complexity Barrier

  Zonglin Yang, Lidong Bing · Mar 4, 2026 · Citations: 0
• Confidence-Calibrated Small-Large Language Model Collaboration for Cost-Efficient Reasoning

  Chuang Zhang, Zizhen Zhu, Yihao Wei, Bing Tian, Junyi Liu · Mar 4, 2026 · Citations: 0
• ErrorLLM: Modeling SQL Errors for Text-to-SQL Refinement

  Zijin Hong, Hao Chen, Zheng Yuan, Qinggang Zhang, Luyao Zhuang · Mar 4, 2026 · Citations: 0
• Order Is Not Layout: Order-to-Space Bias in Image Generation

  Yongkang Zhang, Zonglin Zhao, Yuechen Zhang, Fei Ding, Pei Li · Mar 4, 2026 · Citations: 0
• CONCUR: Benchmarking LLMs for Concurrent Code Generation

  Jue Huang, Tarek Mahmud, Corina Pasareanu, Guowei Yang · Mar 4, 2026 · Citations: 0
• MIND: Unified Inquiry and Diagnosis RL with Criteria Grounded Clinical Supports for Psychiatric Consultation

  Guoyi Li, Shihao Xu, Jiatong Ma, Yunyun Han, Jianhua Chen · Mar 4, 2026 · Citations: 0
• Linguistically Informed Graph Model and Semantic Contrastive Learning for Korean Short Text Classification

  JaeGeon Yoo, Byoungwook Kim, Yeongwook Yang, Hong-Jun Jang · Mar 4, 2026 · Citations: 0
• A Neural Topic Method Using a Large-Language-Model-in-the-Loop for Business Research

  Stephan Ludwig, Peter J. Danaher, Xiaohao Yang · Mar 4, 2026 · Citations: 0
• Why Are Linear RNNs More Parallelizable?

  William Merrill, Hongjian Jiang, Yanhong Li, Anthony Lin, Ashish Sabharwal · Mar 4, 2026 · Citations: 0

  Abstract shows limited direct human-feedback or evaluation-protocol detail; use as adjacent methodological context.

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