HF Papers

Two Experts Are All You Need for Steering Thinking: Reinforcing
Cognitive Effort in MoE Reasoning Models Without Additional Training

Two Experts Are All You Need for Steering Thinking: Reinforcing
Cognitive Effort in MoE Reasoning Models Without Additional Training

2025-05-21

Not All Correct Answers Are Equal: Why Your Distillation Source Matters

Not All Correct Answers Are Equal: Why Your Distillation Source Matters

2025-05-21

SSR: Enhancing Depth Perception in Vision-Language Models via
Rationale-Guided Spatial Reasoning

SSR: Enhancing Depth Perception in Vision-Language Models via
Rationale-Guided Spatial Reasoning

2025-05-21

Towards eliciting latent knowledge from LLMs with mechanistic
interpretability

Towards eliciting latent knowledge from LLMs with mechanistic
interpretability

2025-05-21

Lessons from Defending Gemini Against Indirect Prompt Injections

Lessons from Defending Gemini Against Indirect Prompt Injections

2025-05-21

Warm Up Before You Train: Unlocking General Reasoning in
Resource-Constrained Settings

Warm Up Before You Train: Unlocking General Reasoning in
Resource-Constrained Settings

2025-05-21

Fixing 7,400 Bugs for 1$: Cheap Crash-Site Program Repair

Fixing 7,400 Bugs for 1$: Cheap Crash-Site Program Repair

2025-05-21

Truth Neurons

2025-05-21

MIGRATION-BENCH: Repository-Level Code Migration Benchmark from Java 8

MIGRATION-BENCH: Repository-Level Code Migration Benchmark from Java 8

2025-05-21

Vox-Profile: A Speech Foundation Model Benchmark for Characterizing
Diverse Speaker and Speech Traits

2025-05-21

Visual Instruction Bottleneck Tuning

Visual Instruction Bottleneck Tuning

2025-05-21

CompeteSMoE -- Statistically Guaranteed Mixture of Experts Training via
Competition

CompeteSMoE — Statistically Guaranteed Mixture of Experts Training via
Competition

2025-05-21

Phare: A Safety Probe for Large Language Models

Phare: A Safety Probe for Large Language Models

2025-05-21

The Hallucination Tax of Reinforcement Finetuning

The Hallucination Tax of Reinforcement Finetuning

2025-05-21

Solve-Detect-Verify: Inference-Time Scaling with Flexible Generative
Verifier

Solve-Detect-Verify: Inference-Time Scaling with Flexible Generative
Verifier

2025-05-21

Tokenization Constraints in LLMs: A Study of Symbolic and Arithmetic
Reasoning Limits

Tokenization Constraints in LLMs: A Study of Symbolic and Arithmetic
Reasoning Limits

2025-05-21

To Bias or Not to Bias: Detecting bias in News with bias-detector

To Bias or Not to Bias: Detecting bias in News with bias-detector

2025-05-21

Incorporating brain-inspired mechanisms for multimodal learning in
artificial intelligence

Incorporating brain-inspired mechanisms for multimodal learning in
artificial intelligence

2025-05-21

Will AI Tell Lies to Save Sick Children? Litmus-Testing AI Values
Prioritization with AIRiskDilemmas

Will AI Tell Lies to Save Sick Children? Litmus-Testing AI Values
Prioritization with AIRiskDilemmas

2025-05-21

CoIn: Counting the Invisible Reasoning Tokens in Commercial Opaque LLM
APIs

CoIn: Counting the Invisible Reasoning Tokens in Commercial Opaque LLM
APIs

2025-05-21