Cover Image

ACL-Verbatim: hallucination-free question answering for research

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Recski, Gábor, Tóth, Szilveszter, Verdha, Nadia, Boros, István, Kovács, Ádám
Format:	Preprint
Published:	2026
Subjects:	Computation and Language Artificial Intelligence Software Engineering
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

LettuceDetect: A Hallucination Detection Framework for RAG Applications
by: Kovács, Ádám, et al.
Published: (2025)

Squeez: Task-Conditioned Tool-Output Pruning for Coding Agents
by: Kovács, Ádám
Published: (2026)

Assessing GPT-4-Vision's Capabilities in UML-Based Code Generation
by: Antal, Gábor, et al.
Published: (2024)

mcdok at SemEval-2026 Task 13: Finetuning LLMs for Detection of Machine-Generated Code
by: Skurla, Adam, et al.
Published: (2026)

Type-Aware Retrieval-Augmented Generation with Dependency Closure for Solver-Executable Industrial Optimization Modeling
by: Zhong, Y., et al.
Published: (2026)

SWE-QA-Pro: A Representative Benchmark and Scalable Training Recipe for Repository-Level Code Understanding
by: Cai, Songcheng, et al.
Published: (2026)

To See is Not to Master: Teaching LLMs to Use Private Libraries for Code Generation
by: Zhang, Yitong, et al.
Published: (2026)

Simulating Complex Multi-Turn Tool Calling Interactions in Stateless Execution Environments
by: Crouse, Maxwell, et al.
Published: (2026)

SlopCodeBench: Benchmarking How Coding Agents Degrade Over Long-Horizon Iterative Tasks
by: Orlanski, Gabriel, et al.
Published: (2026)

IndustryCode: A Benchmark for Industry Code Generation
by: Zeng, Puyu, et al.
Published: (2026)

SWE-CI: Evaluating Agent Capabilities in Maintaining Codebases via Continuous Integration
by: Chen, Jialong, et al.
Published: (2026)

VLAA-GUI: Knowing When to Stop, Recover, and Search, A Modular Framework for GUI Automation
by: Han, Qijun, et al.
Published: (2026)

MemRepair: Hierarchical Memory for Agentic Repository-Level Vulnerability Repair
by: Liu, Simiao, et al.
Published: (2026)

Guarded Repair for Harm-Aware Post-hoc Replacement of LLM Mathematical Reasoning
by: Xia, Haizhou
Published: (2026)

Advancing Language Models for Code-related Tasks
by: Tian, Zhao
Published: (2026)

Attention Mechanism and Heuristic Approach: Context-Aware File Ranking Using Multi-Head Self-Attention
by: Sharma, Pradeep Kumar, et al.
Published: (2026)

KAPSO: A Knowledge-grounded framework for Autonomous Program Synthesis and Optimization
by: Nadafian, Alireza, et al.
Published: (2026)

EvoConfig: Self-Evolving Multi-Agent Systems for Efficient Autonomous Environment Configuration
by: Guo, Xinshuai, et al.
Published: (2026)

Can Coding Agents Reproduce Findings in Computational Materials Science?
by: Huang, Ziyang, et al.
Published: (2026)

Benchmarking Open-Source Safety Guard Models: A Comprehensive Evaluation
by: Harsh, Reetu Raj, et al.
Published: (2026)

Pull Requests as a Training Signal for Repo-Level Code Editing
by: Zhu, Qinglin, et al.
Published: (2026)

OmniCode: A Benchmark for Evaluating Software Engineering Agents
by: Sonwane, Atharv, et al.
Published: (2026)

Library Drift: Diagnosing and Fixing a Silent Failure Mode in Self-Evolving LLM Skill Libraries
by: Zhang, Xing, et al.
Published: (2026)

Terminal Agents Suffice for Enterprise Automation
by: Bechard, Patrice, et al.
Published: (2026)

BenchBrowser: Retrieving Evidence for Evaluating Benchmark Validity
by: Diddee, Harshita, et al.
Published: (2026)

Imperative Interference: Social Register Shapes Instruction Topology in Large Language Models
by: Mason, Tony
Published: (2026)

Value-Conflict Diagnostics Reveal Widespread Alignment Faking in Language Models
by: Nair, Inderjeet, et al.
Published: (2026)

FormulaCode: Evaluating Agentic Optimization on Large Codebases
by: Sehgal, Atharva, et al.
Published: (2026)

Code Sharing In Prediction Model Research: A Scoping Review
by: Sounack, Thomas, et al.
Published: (2026)

Revision or Re-Solving? Decomposing Second-Pass Gains in Multi-LLM Pipelines
by: Ning, Jingjie, et al.
Published: (2026)

Toward Reusability of AI Models Using Dynamic Updates of AI Documentation
by: Bajcsy, Peter, et al.
Published: (2026)

SpecBench: Measuring Reward Hacking in Long-Horizon Coding Agents
by: Zhao, Bingchen, et al.
Published: (2026)

SWE-Chain: Benchmarking Coding Agents on Chained Release-Level Package Upgrades
by: Lam, Man Ho, et al.
Published: (2026)

CRANE: Constrained Reasoning Injection for Code Agents via Nullspace Editing
by: Zhu, Mingzhi, et al.
Published: (2026)

Effective Harness Engineering for Algorithm Discovery with Coding Agents
by: Ishibashi, Yoichi, et al.
Published: (2026)

CangjieBench: Benchmarking LLMs on a Low-Resource General-Purpose Programming Language
by: Cheng, Junhang, et al.
Published: (2026)

ABC-Bench: Benchmarking Agentic Backend Coding in Real-World Development
by: Yang, Jie, et al.
Published: (2026)

Drift-Bench: Diagnosing Cooperative Breakdowns in LLM Agents under Input Faults via Multi-Turn Interaction
by: Bao, Han, et al.
Published: (2026)

BiasScope: Towards Automated Detection of Bias in LLM-as-a-Judge Evaluation
by: Lai, Peng, et al.
Published: (2026)

GameDevBench: Evaluating Agentic Capabilities Through Game Development
by: Chi, Wayne, et al.
Published: (2026)