Computation and Language

Papers filed under cs.CL on arXiv, each one already summarized by Paperlayer. Open any of them to read the summary beside the original PDF, with every point linked to the line, figure, or table it came from.

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1 to 60 of 17,312

U-MATH: A University-Level Benchmark for Evaluating Mathematical Skills in LLMs
Konstantin Chernyshev, Vitaliy Polshkov, Ekaterina Artemova +4
cs.CLcs.AIarXiv:2412.03205v42024
LLaMA Pro: Progressive LLaMA with Block Expansion
Chengyue Wu, Yukang Gan, Yixiao Ge +5
cs.CLarXiv:2401.02415v22024
From Structure to Validity: Mechanism-Guided Generation and Refinement of LLM Rubrics
Feifei Qian, Xuan Chen, Lixin Cui +6
cs.CLarXiv:2610.13375v12026
Depth and Scale in the Sub-150M Regime: JugnuLM-53M vs JugnuLM-110M
Dushyant Rajput, Nirdesh Chauhan, Siddharth Kosaraju
cs.AIcs.CLarXiv:2609.14715v12026
Not All Correct Fixes Run Alike: An Empirical Study of Patch Performance in Repository-Level Issue Resolution
Han Peng, Xing Hu, Feifei Niu +2
cs.SEcs.CLarXiv:2610.13563v12026
Training User Simulators with Latent Intrinsic Feedback
Tarek Naous, Craig Boutilier, Wei Xu +1
cs.CLarXiv:2610.13617v12026
A BERT Baseline for the Natural Questions
Chris Alberti, Kenton Lee, Michael Collins
cs.CLarXiv:1901.08634v32019
MOSCOPT: Mixture-of-Skills Collective Optimization for LLM Agents
Zhenyu Zhang, Jiudong Yang
cs.AIcs.CLarXiv:2609.14399v22026
Data-to-text Generation with Entity Modeling
Ratish Puduppully, Li Dong, Mirella Lapata
cs.CLarXiv:1906.03221v12019
REAL-Prover: Retrieval Augmented Lean Prover for Mathematical Reasoning
Ziju Shen, Naohao Huang, Fanyi Yang +11
cs.CLcs.AIcs.LGarXiv:2505.20613v32025
E2A-Bench: Benchmarking Evidence-to-Action Reliability in Financial Chart Reasoning
Xiaoya Wang, Yutong Xu, Junjie Wang
cs.CLarXiv:2609.14302v12026
ARB: Advanced Reasoning Benchmark for Large Language Models
Tomohiro Sawada, Daniel Paleka, Alexander Havrilla +6
cs.CLcs.LGarXiv:2307.13692v22023
Taking Tokenization off the Host for Agentic LLM Serving
Mohammad Siavashi, Pascal Schwinte, Ali Banaei +3
cs.DCcs.CLcs.LGarXiv:2610.13325v12026
Can Language Models Learn When to Abstain? Policy Learning and Calibrated Answer Selection
Juan Terven, Diana-Margarita Córdova-Esparza, Ruben Gomez +3
cs.CLarXiv:2610.13821v12026
Joint Lemmatization and Morphological Tagging with LEMMING
Thomas Muller, Ryan Cotterell, Alexander Fraser +1
cs.CLarXiv:2405.18308v12024
Shortcut-Stacked Sentence Encoders for Multi-Domain Inference
Yixin Nie, Mohit Bansal
cs.CLcs.AIcs.LGarXiv:1708.02312v22017
Loop-Back Authority in LLM Agent Teams: A Paired Experiment on Flat and Hierarchical Coordination
Burak Agachan, Max van Duijn, Amirhossein Zohrehvand
cs.MAcs.AIcs.CLarXiv:2609.14767v22026
Refusal Reads Only a Slice of What the Model Knows: Harm-Keyed Routing and Its Exceptions Across Model Families
Orion Reblitz-Richardson
cs.LGcs.AIcs.CLarXiv:2609.14759v12026
Question's Gambit: The First Move Matters in Agentic Deep Search
Radin Hamidi Rad, Amin Bigdeli, Negar Arabzadeh +4
cs.AIcs.CLcs.IRarXiv:2609.14412v12026
Retrieval-Driven Memory Reconsolidation for Long-Term LLM Agents
Yuanyi Song, Yukai Wang, Xinbei Ma +7
cs.CLcs.AIarXiv:2609.16053v12026
The Attribution-Compression Frontier in Retrieval-Augmented Generation
Deepanshu Mody
cs.CLcs.AIarXiv:2609.14245v12026
Continual Memorization of Factoids in Language Models
Howard Chen, Jiayi Geng, Adithya Bhaskar +2
cs.CLarXiv:2411.07175v32024
Task-Specific Skill Localization in Fine-tuned Language Models
Abhishek Panigrahi, Nikunj Saunshi, Haoyu Zhao +1
cs.CLcs.LGarXiv:2302.06600v22023
Using natural language prompts for machine translation
Xavier Garcia, Orhan Firat
cs.CLarXiv:2202.11822v12022
Training Data is More Valuable than You Think: A Simple and Effective Method by Retrieving from Training Data
Shuohang Wang, Yichong Xu, Yuwei Fang +5
cs.CLcs.AIcs.IRarXiv:2203.08773v12022
Does Financial Speech Need Continual Learning Regularization? A Study of EWC and mini-KFAC on Earnings Call ASR
Thai Quoc On, Homayoon Beigi
eess.AScs.CLcs.LGarXiv:2610.13432v12026
The Dawn of Quantum Natural Language Processing
Riccardo Di Sipio, Jia-Hong Huang, Samuel Yen-Chi Chen +2
cs.CLcs.AIcs.CVarXiv:2110.06510v12021
Few-shot Knowledge Graph-to-Text Generation with Pretrained Language Models
Junyi Li, Tianyi Tang, Wayne Xin Zhao +3
cs.CLarXiv:2106.01623v12021
Natural Language to Code Generation in Interactive Data Science Notebooks
Pengcheng Yin, Wen-Ding Li, Kefan Xiao +9
cs.CLcs.SEarXiv:2212.09248v12022
Generating Descriptions from Structured Data Using a Bifocal Attention Mechanism and Gated Orthogonalization
Preksha Nema, Shreyas Shetty, Parag Jain +3
cs.CLcs.AIcs.LGarXiv:1804.07789v12018
CycleGT: Unsupervised Graph-to-Text and Text-to-Graph Generation via Cycle Training
Qipeng Guo, Zhijing Jin, Xipeng Qiu +3
cs.CLcs.AIcs.LGarXiv:2006.04702v32020
Robust (Controlled) Table-to-Text Generation with Structure-Aware Equivariance Learning
Fei Wang, Zhewei Xu, Pedro Szekely +1
cs.CLcs.AIcs.LGarXiv:2205.03972v12022
A Mixed Hierarchical Attention based Encoder-Decoder Approach for Standard Table Summarization
Parag Jain, Anirban Laha, Karthik Sankaranarayanan +3
cs.CLcs.AIarXiv:1804.07790v12018
Table-to-Text: Describing Table Region with Natural Language
Junwei Bao, Duyu Tang, Nan Duan +4
cs.CLcs.AIarXiv:1805.11234v12018
CliqueParcel: An Approach For Batching LLM Prompts That Jointly Optimizes Efficiency And Faithfulness
Jiayi Liu, Tinghan Yang, Jennifer Neville
cs.CLcs.AIcs.LGarXiv:2402.14833v12024
BatchPrompt: Accomplish more with less
Jianzhe Lin, Maurice Diesendruck, Liang Du +1
cs.CLarXiv:2309.00384v32023
OmniBench: Towards The Future of Universal Omni-Language Models
Yizhi Li, Yinghao Ma, Ge Zhang +20
cs.CLcs.AIcs.CVarXiv:2409.15272v62024
MoonCast: High-Quality Zero-Shot Podcast Generation
Zeqian Ju, Dongchao Yang, Jianwei Yu +7
eess.AScs.AIcs.CLarXiv:2503.14345v22025
OmniFlatten: An End-to-end GPT Model for Seamless Voice Conversation
Qinglin Zhang, Luyao Cheng, Chong Deng +8
cs.CLcs.AIcs.SDarXiv:2410.17799v22024
OSUM: Advancing Open Speech Understanding Models with Limited Resources in Academia
Xuelong Geng, Kun Wei, Qijie Shao +18
cs.SDcs.CLeess.ASarXiv:2501.13306v22025
MoPrO-SD: Modular Prompt Optimization for Stance Detection
Meysam Sabbaghan, Nikesh Gyawali, Arman Zareian Jahromi +3
cs.CLarXiv:2610.13386v12026
What Should SFT Learn? Conditional Information Gain for Generalizable Post-Training
Yuxuan Gu, Kequan Niu, Xiaocheng Feng +3
cs.CLcs.AIcs.LGarXiv:2610.12995v12026
QTestBench: A Test Framework for Evaluating LLM-Generated Quantum Code
Meriem Terki, Nouhaila Innan, Minghao Shao +3
cs.LGcs.CLquant-pharXiv:2610.13811v12026
Retractions Revisited: A Replication, Extension, and Mechanistic Evaluation of Linguistic Obfuscation Effects in Fraudulent Science
David M. Markowitz
cs.CLarXiv:2610.13678v12026
Why Gaussian Diffusion Models Fail on Discrete Data and How to Prevent It?
Alexander Shabalin, Simon Elistratov, Viacheslav Meshchaninov +2
cs.CLarXiv:2604.02028v22026
How to Train Your Latent Diffusion Language Model Jointly With the Latent Space
Viacheslav Meshchaninov, Alexander Shabalin, Egor Chimbulatov +4
cs.CLarXiv:2605.07933v12026
Peering Through Preferences: Unraveling Feedback Acquisition for Aligning Large Language Models
Hritik Bansal, John Dang, Aditya Grover
cs.LGcs.AIcs.CLarXiv:2308.15812v32023
Improving Reward Models with Synthetic Critiques
Zihuiwen Ye, Fraser Greenlee-Scott, Max Bartolo +3
cs.CLarXiv:2405.20850v22024
Methodological reflections for AI alignment research using human feedback
Thilo Hagendorff, Sarah Fabi
cs.HCcs.AIcs.CLarXiv:2301.06859v12022
Self-Generated Critiques Boost Reward Modeling for Language Models
Yue Yu, Zhengxing Chen, Aston Zhang +10
cs.CLcs.AIcs.LGarXiv:2411.16646v32024
Overcoming Data Imbalances with Expert Selection Biases
Ayush K. Tarun, Clara Meister, Antoine Bosselut
cs.CLcs.LGarXiv:2610.13370v12026
Not Just an Evaluation: A Case Study of Discourse Particle Sensitivity in Language Models
William Sheffield, Jiahui Chen, Amy Zhang +3
cs.CLarXiv:2610.13794v12026
Proactive Agentic Orchestration
Xueyang Feng, Chaozhuo Li, Xiaohe Bo +4
cs.CLarXiv:2610.13485v12026
FlashAdventure: A Benchmark for GUI Agents Solving Full Story Arcs in Diverse Adventure Games
Jaewoo Ahn, Junseo Kim, Heeseung Yun +4
cs.AIcs.CLcs.CVarXiv:2509.01052v22025
DecMetrics: Structured Claim Decomposition Scoring for Factually Consistent LLM Outputs
Minghui Huang
cs.CLcs.AIarXiv:2509.04483v12025
Multilingual sequence-to-sequence speech recognition: architecture, transfer learning, and language modeling
Jaejin Cho, Murali Karthick Baskar, Ruizhi Li +6
cs.CLcs.LGcs.SDarXiv:1810.03459v12018
Reasoning Abilities of Large Language Models: In-Depth Analysis on the Abstraction and Reasoning Corpus
Seungpil Lee, Woochang Sim, Donghyeon Shin +6
cs.CLcs.AIcs.ETarXiv:2403.11793v32024
One Model to Loop Them All: Elastic Latent Recurrence for Language Models
Faisal Ladhak, Shantanu Acharya, Santiago Akle Serano +3
cs.CLarXiv:2610.12582v12026
The Magic of IF: Investigating Causal Reasoning Abilities in Large Language Models of Code
Xiao Liu, Da Yin, Chen Zhang +2
cs.CLarXiv:2305.19213v12023
Uncertainty Estimation for Language Reward Models
Adam Gleave, Geoffrey Irving
cs.CLcs.AIcs.LGarXiv:2203.07472v12022

Computation and Language

U-MATH: A University-Level Benchmark for Evaluating Mathematical Skills in LLMs

LLaMA Pro: Progressive LLaMA with Block Expansion

From Structure to Validity: Mechanism-Guided Generation and Refinement of LLM Rubrics

Depth and Scale in the Sub-150M Regime: JugnuLM-53M vs JugnuLM-110M

Not All Correct Fixes Run Alike: An Empirical Study of Patch Performance in Repository-Level Issue Resolution

Training User Simulators with Latent Intrinsic Feedback

A BERT Baseline for the Natural Questions

MOSCOPT: Mixture-of-Skills Collective Optimization for LLM Agents

Data-to-text Generation with Entity Modeling

REAL-Prover: Retrieval Augmented Lean Prover for Mathematical Reasoning

E2A-Bench: Benchmarking Evidence-to-Action Reliability in Financial Chart Reasoning

ARB: Advanced Reasoning Benchmark for Large Language Models

Taking Tokenization off the Host for Agentic LLM Serving

Can Language Models Learn When to Abstain? Policy Learning and Calibrated Answer Selection

Joint Lemmatization and Morphological Tagging with LEMMING

Shortcut-Stacked Sentence Encoders for Multi-Domain Inference

Loop-Back Authority in LLM Agent Teams: A Paired Experiment on Flat and Hierarchical Coordination

Refusal Reads Only a Slice of What the Model Knows: Harm-Keyed Routing and Its Exceptions Across Model Families

Question's Gambit: The First Move Matters in Agentic Deep Search

Retrieval-Driven Memory Reconsolidation for Long-Term LLM Agents

The Attribution-Compression Frontier in Retrieval-Augmented Generation

Continual Memorization of Factoids in Language Models

Task-Specific Skill Localization in Fine-tuned Language Models

Using natural language prompts for machine translation

Training Data is More Valuable than You Think: A Simple and Effective Method by Retrieving from Training Data

Does Financial Speech Need Continual Learning Regularization? A Study of EWC and mini-KFAC on Earnings Call ASR

The Dawn of Quantum Natural Language Processing

Few-shot Knowledge Graph-to-Text Generation with Pretrained Language Models

Natural Language to Code Generation in Interactive Data Science Notebooks

Generating Descriptions from Structured Data Using a Bifocal Attention Mechanism and Gated Orthogonalization

CycleGT: Unsupervised Graph-to-Text and Text-to-Graph Generation via Cycle Training

Robust (Controlled) Table-to-Text Generation with Structure-Aware Equivariance Learning

A Mixed Hierarchical Attention based Encoder-Decoder Approach for Standard Table Summarization

Table-to-Text: Describing Table Region with Natural Language

CliqueParcel: An Approach For Batching LLM Prompts That Jointly Optimizes Efficiency And Faithfulness

BatchPrompt: Accomplish more with less

OmniBench: Towards The Future of Universal Omni-Language Models

MoonCast: High-Quality Zero-Shot Podcast Generation

OmniFlatten: An End-to-end GPT Model for Seamless Voice Conversation

OSUM: Advancing Open Speech Understanding Models with Limited Resources in Academia

MoPrO-SD: Modular Prompt Optimization for Stance Detection

What Should SFT Learn? Conditional Information Gain for Generalizable Post-Training

QTestBench: A Test Framework for Evaluating LLM-Generated Quantum Code

Retractions Revisited: A Replication, Extension, and Mechanistic Evaluation of Linguistic Obfuscation Effects in Fraudulent Science

Why Gaussian Diffusion Models Fail on Discrete Data and How to Prevent It?

How to Train Your Latent Diffusion Language Model Jointly With the Latent Space

Peering Through Preferences: Unraveling Feedback Acquisition for Aligning Large Language Models

Improving Reward Models with Synthetic Critiques

Methodological reflections for AI alignment research using human feedback

Self-Generated Critiques Boost Reward Modeling for Language Models

Overcoming Data Imbalances with Expert Selection Biases

Not Just an Evaluation: A Case Study of Discourse Particle Sensitivity in Language Models

Proactive Agentic Orchestration

FlashAdventure: A Benchmark for GUI Agents Solving Full Story Arcs in Diverse Adventure Games

DecMetrics: Structured Claim Decomposition Scoring for Factually Consistent LLM Outputs

Multilingual sequence-to-sequence speech recognition: architecture, transfer learning, and language modeling

Reasoning Abilities of Large Language Models: In-Depth Analysis on the Abstraction and Reasoning Corpus

One Model to Loop Them All: Elastic Latent Recurrence for Language Models

The Magic of IF: Investigating Causal Reasoning Abilities in Large Language Models of Code

Uncertainty Estimation for Language Reward Models