Towards Verifiable Text Generation with Symbolic References
Fuente:
arXiv
Saved in:
| Main Authors: | Hennigen, Lucas Torroba, Shen, Shannon, Nrusimha, Aniruddha, Gapp, Bernhard, Sontag, David, Kim, Yoon |
|---|---|
| Format: | Preprint |
| Published: |
2023
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Hyperloop Transformers
by: Zeitoun, Abbas, et al.
Published: (2026)
by: Zeitoun, Abbas, et al.
Published: (2026)
On the Duality between Gradient Transformations and Adapters
by: Torroba-Hennigen, Lucas, et al.
Published: (2025)
by: Torroba-Hennigen, Lucas, et al.
Published: (2025)
A Data-Centric Approach To Generate Faithful and High Quality Patient Summaries with Large Language Models
by: Hegselmann, Stefan, et al.
Published: (2024)
by: Hegselmann, Stefan, et al.
Published: (2024)
Principled Gradient-based Markov Chain Monte Carlo for Text Generation
by: Du, Li, et al.
Published: (2023)
by: Du, Li, et al.
Published: (2023)
Mitigating the Impact of Outlier Channels for Language Model Quantization with Activation Regularization
by: Nrusimha, Aniruddha, et al.
Published: (2024)
by: Nrusimha, Aniruddha, et al.
Published: (2024)
References Improve LLM Alignment in Non-Verifiable Domains
by: Shi, Kejian, et al.
Published: (2026)
by: Shi, Kejian, et al.
Published: (2026)
Search, Verify and Feedback: Towards Next Generation Post-training Paradigm of Foundation Models via Verifier Engineering
by: Guan, Xinyan, et al.
Published: (2024)
by: Guan, Xinyan, et al.
Published: (2024)
FinChain: A Symbolic Benchmark for Verifiable Chain-of-Thought Financial Reasoning
by: Xie, Zhuohan, et al.
Published: (2025)
by: Xie, Zhuohan, et al.
Published: (2025)
EngTrace: A Symbolic Benchmark for Verifiable Process Supervision of Engineering Reasoning
by: Gull, Ayesha, et al.
Published: (2025)
by: Gull, Ayesha, et al.
Published: (2025)
FlashFormer: Whole-Model Kernels for Efficient Low-Batch Inference
by: Nrusimha, Aniruddha, et al.
Published: (2025)
by: Nrusimha, Aniruddha, et al.
Published: (2025)
Spotting LLMs With Binoculars: Zero-Shot Detection of Machine-Generated Text
by: Hans, Abhimanyu, et al.
Published: (2024)
by: Hans, Abhimanyu, et al.
Published: (2024)
AXIOM: A Trust-First Neuro-Symbolic Execution Architecture for Verifiable Mathematical Reasoning
by: Bruno, Alessio
Published: (2026)
by: Bruno, Alessio
Published: (2026)
Learning to Decode Collaboratively with Multiple Language Models
by: Shen, Shannon Zejiang, et al.
Published: (2024)
by: Shen, Shannon Zejiang, et al.
Published: (2024)
RL Tango: Reinforcing Generator and Verifier Together for Language Reasoning
by: Zha, Kaiwen, et al.
Published: (2025)
by: Zha, Kaiwen, et al.
Published: (2025)
Verifying the Verifiers: Unveiling Pitfalls and Potentials in Fact Verifiers
by: Seo, Wooseok, et al.
Published: (2025)
by: Seo, Wooseok, et al.
Published: (2025)
From Static Benchmarks to Dynamic Protocol: Agent-Centric Text Anomaly Detection for Evaluating LLM Reasoning
by: Yoa, Seungdong, et al.
Published: (2026)
by: Yoa, Seungdong, et al.
Published: (2026)
SCI-Verifier: Scientific Verifier with Thinking
by: Zheng, Shenghe, et al.
Published: (2025)
by: Zheng, Shenghe, et al.
Published: (2025)
RLPR: Extrapolating RLVR to General Domains without Verifiers
by: Yu, Tianyu, et al.
Published: (2025)
by: Yu, Tianyu, et al.
Published: (2025)
Verifier-Backed Hard Problem Generation for Mathematical Reasoning
by: Lai, Yuhang, et al.
Published: (2026)
by: Lai, Yuhang, et al.
Published: (2026)
Simultaneous Multi-objective Alignment Across Verifiable and Non-verifiable Rewards
by: Shen, Yiran, et al.
Published: (2025)
by: Shen, Yiran, et al.
Published: (2025)
DR Tulu: Reinforcement Learning with Evolving Rubrics for Deep Research
by: Shao, Rulin, et al.
Published: (2025)
by: Shao, Rulin, et al.
Published: (2025)
CoVerRL: Breaking the Consensus Trap in Label-Free Reasoning via Generator-Verifier Co-Evolution
by: Pan, Teng, et al.
Published: (2026)
by: Pan, Teng, et al.
Published: (2026)
Reflection-Window Decoding: Text Generation with Selective Refinement
by: Tang, Zeyu, et al.
Published: (2025)
by: Tang, Zeyu, et al.
Published: (2025)
PAG: Multi-Turn Reinforced LLM Self-Correction with Policy as Generative Verifier
by: Jiang, Yuhua, et al.
Published: (2025)
by: Jiang, Yuhua, et al.
Published: (2025)
CaLM: Contrasting Large and Small Language Models to Verify Grounded Generation
by: Hsu, I-Hung, et al.
Published: (2024)
by: Hsu, I-Hung, et al.
Published: (2024)
DiZiNER: Disagreement-guided Instruction Refinement via Pilot Annotation Simulation for Zero-shot Named Entity Recognition
by: Kim, Siun, et al.
Published: (2026)
by: Kim, Siun, et al.
Published: (2026)
PREF: Reference-Free Evaluation of Personalised Text Generation in LLMs
by: Fu, Xiao, et al.
Published: (2025)
by: Fu, Xiao, et al.
Published: (2025)
On the Ability of Transformers to Verify Plans
by: Sarrof, Yash, et al.
Published: (2026)
by: Sarrof, Yash, et al.
Published: (2026)
Reducing Transformer Key-Value Cache Size with Cross-Layer Attention
by: Brandon, William, et al.
Published: (2024)
by: Brandon, William, et al.
Published: (2024)
Large Language Models are Powerful Electronic Health Record Encoders
by: Hegselmann, Stefan, et al.
Published: (2025)
by: Hegselmann, Stefan, et al.
Published: (2025)
Verif.ai: Towards an Open-Source Scientific Generative Question-Answering System with Referenced and Verifiable Answers
by: Košprdić, Miloš, et al.
Published: (2024)
by: Košprdić, Miloš, et al.
Published: (2024)
Interpretable Next-token Prediction via the Generalized Induction Head
by: Kim, Eunji, et al.
Published: (2024)
by: Kim, Eunji, et al.
Published: (2024)
When To Solve, When To Verify: Compute-Optimal Problem Solving and Generative Verification for LLM Reasoning
by: Singhi, Nishad, et al.
Published: (2025)
by: Singhi, Nishad, et al.
Published: (2025)
Reference-based Metrics Disprove Themselves in Question Generation
by: Nguyen, Bang, et al.
Published: (2024)
by: Nguyen, Bang, et al.
Published: (2024)
Towards More Effective Table-to-Text Generation: Assessing In-Context Learning and Self-Evaluation with Open-Source Models
by: Iravani, Sahar, et al.
Published: (2024)
by: Iravani, Sahar, et al.
Published: (2024)
CHAMP: A Competition-level Dataset for Fine-Grained Analyses of LLMs' Mathematical Reasoning Capabilities
by: Mao, Yujun, et al.
Published: (2024)
by: Mao, Yujun, et al.
Published: (2024)
Scaling Bidirectional Spans and Span Violations in Attention Mechanism
by: Kim, Jongwook, et al.
Published: (2025)
by: Kim, Jongwook, et al.
Published: (2025)
ERBench: An Entity-Relationship based Automatically Verifiable Hallucination Benchmark for Large Language Models
by: Oh, Jio, et al.
Published: (2024)
by: Oh, Jio, et al.
Published: (2024)
SVIP: Towards Verifiable Inference of Open-source Large Language Models
by: Sun, Yifan, et al.
Published: (2024)
by: Sun, Yifan, et al.
Published: (2024)
Domain Gating Ensemble Networks for AI-Generated Text Detection
by: Tripathi, Arihant, et al.
Published: (2025)
by: Tripathi, Arihant, et al.
Published: (2025)
Similar Items
-
Hyperloop Transformers
by: Zeitoun, Abbas, et al.
Published: (2026) -
On the Duality between Gradient Transformations and Adapters
by: Torroba-Hennigen, Lucas, et al.
Published: (2025) -
A Data-Centric Approach To Generate Faithful and High Quality Patient Summaries with Large Language Models
by: Hegselmann, Stefan, et al.
Published: (2024) -
Principled Gradient-based Markov Chain Monte Carlo for Text Generation
by: Du, Li, et al.
Published: (2023) -
Mitigating the Impact of Outlier Channels for Language Model Quantization with Activation Regularization
by: Nrusimha, Aniruddha, et al.
Published: (2024)